liuyashu002 commited on
Commit
ffa9921
·
1 Parent(s): c4cd542
config.json ADDED
@@ -0,0 +1,200 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/root/nfs3/flame_ft/res/checkpoints/flame-google_siglip-so400m-patch14-384-deepseek-ai_deepseek-coder-6.7b-instruct-mlp2x_gelu-selectlayer-2-onevision-1-pretrain_mmcoder-3NODE-Date1212-STAGE2v9-2-data_1220_no_code_v1-inst_data-STAGE2v9-eos-16k-1220",
3
+ "architectures": [
4
+ "FlameDeepseekForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 32013,
9
+ "eos_token_id": 32021,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 4096,
12
+ "image_aspect_ratio": "anyres_max_9",
13
+ "image_crop_resolution": null,
14
+ "image_grid_pinpoints": [
15
+ [
16
+ 384,
17
+ 384
18
+ ],
19
+ [
20
+ 384,
21
+ 768
22
+ ],
23
+ [
24
+ 384,
25
+ 1152
26
+ ],
27
+ [
28
+ 384,
29
+ 1536
30
+ ],
31
+ [
32
+ 384,
33
+ 1920
34
+ ],
35
+ [
36
+ 384,
37
+ 2304
38
+ ],
39
+ [
40
+ 768,
41
+ 384
42
+ ],
43
+ [
44
+ 768,
45
+ 768
46
+ ],
47
+ [
48
+ 768,
49
+ 1152
50
+ ],
51
+ [
52
+ 768,
53
+ 1536
54
+ ],
55
+ [
56
+ 768,
57
+ 1920
58
+ ],
59
+ [
60
+ 768,
61
+ 2304
62
+ ],
63
+ [
64
+ 1152,
65
+ 384
66
+ ],
67
+ [
68
+ 1152,
69
+ 768
70
+ ],
71
+ [
72
+ 1152,
73
+ 1152
74
+ ],
75
+ [
76
+ 1152,
77
+ 1536
78
+ ],
79
+ [
80
+ 1152,
81
+ 1920
82
+ ],
83
+ [
84
+ 1152,
85
+ 2304
86
+ ],
87
+ [
88
+ 1536,
89
+ 384
90
+ ],
91
+ [
92
+ 1536,
93
+ 768
94
+ ],
95
+ [
96
+ 1536,
97
+ 1152
98
+ ],
99
+ [
100
+ 1536,
101
+ 1536
102
+ ],
103
+ [
104
+ 1536,
105
+ 1920
106
+ ],
107
+ [
108
+ 1536,
109
+ 2304
110
+ ],
111
+ [
112
+ 1920,
113
+ 384
114
+ ],
115
+ [
116
+ 1920,
117
+ 768
118
+ ],
119
+ [
120
+ 1920,
121
+ 1152
122
+ ],
123
+ [
124
+ 1920,
125
+ 1536
126
+ ],
127
+ [
128
+ 1920,
129
+ 1920
130
+ ],
131
+ [
132
+ 1920,
133
+ 2304
134
+ ],
135
+ [
136
+ 2304,
137
+ 384
138
+ ],
139
+ [
140
+ 2304,
141
+ 768
142
+ ],
143
+ [
144
+ 2304,
145
+ 1152
146
+ ],
147
+ [
148
+ 2304,
149
+ 1536
150
+ ],
151
+ [
152
+ 2304,
153
+ 1920
154
+ ],
155
+ [
156
+ 2304,
157
+ 2304
158
+ ]
159
+ ],
160
+ "image_split_resolution": null,
161
+ "initializer_range": 0.02,
162
+ "intermediate_size": 11008,
163
+ "max_position_embeddings": 16384,
164
+ "mm_hidden_size": 1152,
165
+ "mm_newline_position": "one_token",
166
+ "mm_patch_merge_type": "spatial_unpad",
167
+ "mm_projector_lr": null,
168
+ "mm_projector_type": "mlp2x_gelu",
169
+ "mm_resampler_type": null,
170
+ "mm_spatial_pool_mode": "bilinear",
171
+ "mm_tunable_parts": "mm_vision_tower,mm_mlp_adapter,mm_language_model",
172
+ "mm_use_im_patch_token": false,
173
+ "mm_use_im_start_end": false,
174
+ "mm_vision_select_feature": "patch",
175
+ "mm_vision_select_layer": -2,
176
+ "mm_vision_tower": "google/siglip-so400m-patch14-384",
177
+ "mm_vision_tower_lr": 2e-06,
178
+ "model_type": "llama",
179
+ "num_attention_heads": 32,
180
+ "num_hidden_layers": 32,
181
+ "num_key_value_heads": 32,
182
+ "pos_skipping_range": 4096,
183
+ "pretraining_tp": 1,
184
+ "rms_norm_eps": 1e-06,
185
+ "rope_scaling": {
186
+ "factor": 4.0,
187
+ "type": "linear"
188
+ },
189
+ "rope_theta": 100000,
190
+ "tie_word_embeddings": false,
191
+ "tokenizer_model_max_length": 16384,
192
+ "tokenizer_padding_side": "left",
193
+ "torch_dtype": "bfloat16",
194
+ "transformers_version": "4.40.0.dev0",
195
+ "use_cache": true,
196
+ "use_mm_proj": true,
197
+ "use_pos_skipping": false,
198
+ "vision_tower_pretrained": null,
199
+ "vocab_size": 32256
200
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 32013,
4
+ "eos_token_id": 32021,
5
+ "transformers_version": "4.40.0.dev0"
6
+ }
model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a843500299904cce5b2875b144055b7682d564b604ef114a010cd4b507b4c8cf
3
+ size 4941090784
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3c189c321a0d9c105702d96a5f04a6982e8a2ed6b38cc3b68c0ed693dee9874
3
+ size 4947390880
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c31f6850394a6ec8fcab8593d762779d3b66da16d9ef6ebf6eff7b394dd846dd
3
+ size 4431156024
model.safetensors.index.json ADDED
@@ -0,0 +1,724 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 14319537216
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00003-of-00003.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
8
+ "model.image_newline": "model-00001-of-00003.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
16
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
17
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
18
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
19
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
20
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
21
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
22
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
23
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
24
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
25
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
26
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
27
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors",
28
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
29
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
30
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
31
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
32
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
33
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
34
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
35
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
36
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
37
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
38
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
39
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
40
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
41
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
42
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
43
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
44
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
45
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
46
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
47
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
48
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
49
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
50
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
51
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
52
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
53
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
54
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
55
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
56
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
57
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
58
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
59
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
60
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
61
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
62
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
63
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
64
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
65
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
66
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
67
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
68
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
69
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
70
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
71
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
72
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
73
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
74
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
75
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
76
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
77
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
78
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
79
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
80
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
81
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
82
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
83
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
84
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
85
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
86
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
87
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
88
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
89
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
90
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
91
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
92
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
93
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
94
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
95
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
96
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
97
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
98
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
99
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
100
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
101
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
102
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
103
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
104
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
105
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
106
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
107
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
108
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
109
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
110
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
111
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
112
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
113
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
114
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
115
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
116
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
117
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
118
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
119
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
120
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
121
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
122
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
123
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
124
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
125
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
126
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
127
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
128
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
129
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
130
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
131
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
132
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
133
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
134
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
135
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
136
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
137
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
138
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
139
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
140
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
141
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
142
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
143
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
144
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00003.safetensors",
145
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
146
+ "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
147
+ "model.layers.22.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
148
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
149
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
150
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
151
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
152
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
153
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
154
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
155
+ "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
156
+ "model.layers.23.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
157
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
158
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
159
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
160
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
161
+ "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
162
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
163
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
164
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
165
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
166
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
167
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
168
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
169
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
170
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
171
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
172
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
173
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
174
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
175
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
176
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
177
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
178
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
179
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
180
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
181
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
182
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
183
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
184
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
185
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
186
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
187
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
188
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
189
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
190
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
191
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
192
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
193
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
194
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
195
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
196
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
197
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
198
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
199
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
200
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
201
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
202
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
203
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
204
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
205
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
206
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
207
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
208
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
209
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
210
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
211
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
212
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
213
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
214
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
215
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
216
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
217
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
218
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
219
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
220
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
221
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
222
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
223
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
224
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
225
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
226
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
227
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
228
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
229
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
230
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
231
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
232
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
233
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
234
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
235
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
236
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
237
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
238
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
239
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
240
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
241
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
242
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
243
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
244
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
245
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
246
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
247
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
248
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
249
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
250
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
251
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
252
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
253
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
254
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
255
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
256
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
257
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
258
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
259
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
260
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
261
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
262
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
263
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
264
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
265
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
266
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
267
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
268
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
269
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
270
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
271
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
272
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
273
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
274
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
275
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
276
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
277
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
278
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
279
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
280
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
281
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
282
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
283
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
284
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
285
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
286
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
287
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
288
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
289
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
290
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
291
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
292
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
293
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
294
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
295
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
296
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
297
+ "model.mm_projector.0.bias": "model-00003-of-00003.safetensors",
298
+ "model.mm_projector.0.weight": "model-00003-of-00003.safetensors",
299
+ "model.mm_projector.2.bias": "model-00003-of-00003.safetensors",
300
+ "model.mm_projector.2.weight": "model-00003-of-00003.safetensors",
301
+ "model.norm.weight": "model-00003-of-00003.safetensors",
302
+ "model.vision_tower.vision_tower.vision_model.embeddings.patch_embedding.bias": "model-00003-of-00003.safetensors",
303
+ "model.vision_tower.vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00003-of-00003.safetensors",
304
+ "model.vision_tower.vision_tower.vision_model.embeddings.position_embedding.weight": "model-00003-of-00003.safetensors",
305
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00003-of-00003.safetensors",
306
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00003-of-00003.safetensors",
307
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00003-of-00003.safetensors",
308
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00003-of-00003.safetensors",
309
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00003-of-00003.safetensors",
310
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00003-of-00003.safetensors",
311
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00003-of-00003.safetensors",
312
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00003-of-00003.safetensors",
313
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
314
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
315
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
316
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
317
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
318
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
319
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
320
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
321
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00003-of-00003.safetensors",
322
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00003-of-00003.safetensors",
323
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00003-of-00003.safetensors",
324
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00003-of-00003.safetensors",
325
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00003-of-00003.safetensors",
326
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00003-of-00003.safetensors",
327
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00003-of-00003.safetensors",
328
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00003-of-00003.safetensors",
329
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
330
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
331
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
332
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
333
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
334
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
335
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
336
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
337
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00003-of-00003.safetensors",
338
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00003-of-00003.safetensors",
339
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00003-of-00003.safetensors",
340
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00003-of-00003.safetensors",
341
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00003-of-00003.safetensors",
342
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00003-of-00003.safetensors",
343
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00003-of-00003.safetensors",
344
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00003-of-00003.safetensors",
345
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
346
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
347
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
348
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
349
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
350
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
351
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
352
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
353
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00003-of-00003.safetensors",
354
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00003-of-00003.safetensors",
355
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00003-of-00003.safetensors",
356
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00003-of-00003.safetensors",
357
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00003-of-00003.safetensors",
358
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00003-of-00003.safetensors",
359
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00003-of-00003.safetensors",
360
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00003-of-00003.safetensors",
361
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
362
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
363
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
364
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
365
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
366
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
367
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
368
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
369
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00003-of-00003.safetensors",
370
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00003-of-00003.safetensors",
371
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00003-of-00003.safetensors",
372
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00003-of-00003.safetensors",
373
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00003-of-00003.safetensors",
374
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00003-of-00003.safetensors",
375
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00003-of-00003.safetensors",
376
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00003-of-00003.safetensors",
377
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
378
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
379
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
380
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
381
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
382
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
383
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
384
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
385
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00003-of-00003.safetensors",
386
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00003-of-00003.safetensors",
387
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00003-of-00003.safetensors",
388
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00003-of-00003.safetensors",
389
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00003-of-00003.safetensors",
390
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00003-of-00003.safetensors",
391
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00003-of-00003.safetensors",
392
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00003-of-00003.safetensors",
393
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
394
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
395
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
396
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
397
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
398
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
399
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
400
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
401
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00003-of-00003.safetensors",
402
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00003-of-00003.safetensors",
403
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00003-of-00003.safetensors",
404
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00003-of-00003.safetensors",
405
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00003-of-00003.safetensors",
406
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00003-of-00003.safetensors",
407
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00003-of-00003.safetensors",
408
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00003-of-00003.safetensors",
409
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
410
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
411
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
412
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
413
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
414
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
415
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
416
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
417
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00003-of-00003.safetensors",
418
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00003-of-00003.safetensors",
419
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00003-of-00003.safetensors",
420
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00003-of-00003.safetensors",
421
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00003-of-00003.safetensors",
422
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00003-of-00003.safetensors",
423
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00003-of-00003.safetensors",
424
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00003-of-00003.safetensors",
425
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
426
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
427
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
428
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
429
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
430
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
431
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
432
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
433
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00003-of-00003.safetensors",
434
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00003-of-00003.safetensors",
435
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00003-of-00003.safetensors",
436
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00003-of-00003.safetensors",
437
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00003-of-00003.safetensors",
438
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00003-of-00003.safetensors",
439
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00003-of-00003.safetensors",
440
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00003-of-00003.safetensors",
441
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
442
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
443
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
444
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
445
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
446
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
447
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
448
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
449
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00003-of-00003.safetensors",
450
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00003-of-00003.safetensors",
451
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00003-of-00003.safetensors",
452
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00003-of-00003.safetensors",
453
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00003-of-00003.safetensors",
454
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00003-of-00003.safetensors",
455
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00003-of-00003.safetensors",
456
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00003-of-00003.safetensors",
457
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
458
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
459
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
460
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
461
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
462
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
463
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
464
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
465
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00003-of-00003.safetensors",
466
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00003-of-00003.safetensors",
467
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00003-of-00003.safetensors",
468
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00003-of-00003.safetensors",
469
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00003-of-00003.safetensors",
470
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00003-of-00003.safetensors",
471
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00003-of-00003.safetensors",
472
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00003-of-00003.safetensors",
473
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
474
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
475
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
476
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
477
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
478
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
479
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
480
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
481
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00003-of-00003.safetensors",
482
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00003-of-00003.safetensors",
483
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00003-of-00003.safetensors",
484
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00003-of-00003.safetensors",
485
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00003-of-00003.safetensors",
486
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00003-of-00003.safetensors",
487
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00003-of-00003.safetensors",
488
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00003-of-00003.safetensors",
489
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
490
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
491
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
492
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
493
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
494
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
495
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
496
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
497
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00003-of-00003.safetensors",
498
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00003-of-00003.safetensors",
499
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00003-of-00003.safetensors",
500
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00003-of-00003.safetensors",
501
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00003-of-00003.safetensors",
502
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00003-of-00003.safetensors",
503
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00003-of-00003.safetensors",
504
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00003-of-00003.safetensors",
505
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
506
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
507
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
508
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
509
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
510
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
511
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
512
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
513
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00003-of-00003.safetensors",
514
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00003-of-00003.safetensors",
515
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00003-of-00003.safetensors",
516
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00003-of-00003.safetensors",
517
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00003-of-00003.safetensors",
518
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00003-of-00003.safetensors",
519
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00003-of-00003.safetensors",
520
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00003-of-00003.safetensors",
521
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
522
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
523
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
524
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
525
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
526
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
527
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
528
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
529
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00003-of-00003.safetensors",
530
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00003-of-00003.safetensors",
531
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00003-of-00003.safetensors",
532
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00003-of-00003.safetensors",
533
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00003-of-00003.safetensors",
534
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00003-of-00003.safetensors",
535
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00003-of-00003.safetensors",
536
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00003-of-00003.safetensors",
537
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
538
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
539
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
540
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
541
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
542
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
543
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
544
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
545
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00003-of-00003.safetensors",
546
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00003-of-00003.safetensors",
547
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00003-of-00003.safetensors",
548
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00003-of-00003.safetensors",
549
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00003-of-00003.safetensors",
550
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00003-of-00003.safetensors",
551
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00003-of-00003.safetensors",
552
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00003-of-00003.safetensors",
553
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
554
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
555
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
556
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
557
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
558
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
559
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
560
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
561
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00003-of-00003.safetensors",
562
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00003-of-00003.safetensors",
563
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00003-of-00003.safetensors",
564
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00003-of-00003.safetensors",
565
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00003-of-00003.safetensors",
566
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00003-of-00003.safetensors",
567
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00003-of-00003.safetensors",
568
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00003-of-00003.safetensors",
569
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
570
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
571
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
572
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
573
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
574
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
575
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
576
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
577
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.layer_norm1.bias": "model-00003-of-00003.safetensors",
578
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.layer_norm1.weight": "model-00003-of-00003.safetensors",
579
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.layer_norm2.bias": "model-00003-of-00003.safetensors",
580
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.layer_norm2.weight": "model-00003-of-00003.safetensors",
581
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.mlp.fc1.bias": "model-00003-of-00003.safetensors",
582
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.mlp.fc1.weight": "model-00003-of-00003.safetensors",
583
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.mlp.fc2.bias": "model-00003-of-00003.safetensors",
584
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.mlp.fc2.weight": "model-00003-of-00003.safetensors",
585
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
586
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
587
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
588
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
589
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
590
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
591
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
592
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
593
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.layer_norm1.bias": "model-00003-of-00003.safetensors",
594
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.layer_norm1.weight": "model-00003-of-00003.safetensors",
595
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.layer_norm2.bias": "model-00003-of-00003.safetensors",
596
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.layer_norm2.weight": "model-00003-of-00003.safetensors",
597
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.mlp.fc1.bias": "model-00003-of-00003.safetensors",
598
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.mlp.fc1.weight": "model-00003-of-00003.safetensors",
599
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.mlp.fc2.bias": "model-00003-of-00003.safetensors",
600
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.mlp.fc2.weight": "model-00003-of-00003.safetensors",
601
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
602
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
603
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
604
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
605
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
606
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
607
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
608
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
609
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00003-of-00003.safetensors",
610
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00003-of-00003.safetensors",
611
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00003-of-00003.safetensors",
612
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00003-of-00003.safetensors",
613
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00003-of-00003.safetensors",
614
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00003-of-00003.safetensors",
615
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00003-of-00003.safetensors",
616
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00003-of-00003.safetensors",
617
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
618
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
619
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
620
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
621
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
622
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
623
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
624
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
625
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00003-of-00003.safetensors",
626
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00003-of-00003.safetensors",
627
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00003-of-00003.safetensors",
628
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00003-of-00003.safetensors",
629
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00003-of-00003.safetensors",
630
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00003-of-00003.safetensors",
631
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00003-of-00003.safetensors",
632
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00003-of-00003.safetensors",
633
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
634
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
635
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
636
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
637
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
638
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
639
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
640
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
641
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00003-of-00003.safetensors",
642
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00003-of-00003.safetensors",
643
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00003-of-00003.safetensors",
644
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00003-of-00003.safetensors",
645
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00003-of-00003.safetensors",
646
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00003-of-00003.safetensors",
647
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00003-of-00003.safetensors",
648
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00003-of-00003.safetensors",
649
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
650
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
651
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
652
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
653
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
654
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
655
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
656
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
657
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00003-of-00003.safetensors",
658
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00003-of-00003.safetensors",
659
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00003-of-00003.safetensors",
660
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00003-of-00003.safetensors",
661
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00003-of-00003.safetensors",
662
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00003-of-00003.safetensors",
663
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00003-of-00003.safetensors",
664
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00003-of-00003.safetensors",
665
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
666
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
667
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
668
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
669
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
670
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
671
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
672
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
673
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00003-of-00003.safetensors",
674
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00003-of-00003.safetensors",
675
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00003-of-00003.safetensors",
676
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00003-of-00003.safetensors",
677
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00003-of-00003.safetensors",
678
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00003-of-00003.safetensors",
679
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00003-of-00003.safetensors",
680
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00003-of-00003.safetensors",
681
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
682
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
683
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
684
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
685
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
686
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
687
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
688
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
689
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00003-of-00003.safetensors",
690
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00003-of-00003.safetensors",
691
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00003-of-00003.safetensors",
692
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00003-of-00003.safetensors",
693
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00003-of-00003.safetensors",
694
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00003-of-00003.safetensors",
695
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00003-of-00003.safetensors",
696
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00003-of-00003.safetensors",
697
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
698
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
699
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
700
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
701
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
702
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
703
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
704
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
705
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00003-of-00003.safetensors",
706
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00003-of-00003.safetensors",
707
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00003-of-00003.safetensors",
708
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00003-of-00003.safetensors",
709
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00003-of-00003.safetensors",
710
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00003-of-00003.safetensors",
711
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00003-of-00003.safetensors",
712
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00003-of-00003.safetensors",
713
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00003-of-00003.safetensors",
714
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
715
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00003-of-00003.safetensors",
716
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00003-of-00003.safetensors",
717
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00003-of-00003.safetensors",
718
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
719
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00003-of-00003.safetensors",
720
+ "model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
721
+ "model.vision_tower.vision_tower.vision_model.post_layernorm.bias": "model-00003-of-00003.safetensors",
722
+ "model.vision_tower.vision_tower.vision_model.post_layernorm.weight": "model-00003-of-00003.safetensors"
723
+ }
724
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|begin▁of▁sentence|>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|EOT|>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<|end▁of▁sentence|>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ }
23
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,194 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "32000": {
6
+ "content": "õ",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": false
12
+ },
13
+ "32001": {
14
+ "content": "÷",
15
+ "lstrip": false,
16
+ "normalized": true,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": false
20
+ },
21
+ "32002": {
22
+ "content": "Á",
23
+ "lstrip": false,
24
+ "normalized": true,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": false
28
+ },
29
+ "32003": {
30
+ "content": "ý",
31
+ "lstrip": false,
32
+ "normalized": true,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": false
36
+ },
37
+ "32004": {
38
+ "content": "À",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": false
44
+ },
45
+ "32005": {
46
+ "content": "ÿ",
47
+ "lstrip": false,
48
+ "normalized": true,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": false
52
+ },
53
+ "32006": {
54
+ "content": "ø",
55
+ "lstrip": false,
56
+ "normalized": true,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": false
60
+ },
61
+ "32007": {
62
+ "content": "ú",
63
+ "lstrip": false,
64
+ "normalized": true,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": false
68
+ },
69
+ "32008": {
70
+ "content": "þ",
71
+ "lstrip": false,
72
+ "normalized": true,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": false
76
+ },
77
+ "32009": {
78
+ "content": "ü",
79
+ "lstrip": false,
80
+ "normalized": true,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": false
84
+ },
85
+ "32010": {
86
+ "content": "ù",
87
+ "lstrip": false,
88
+ "normalized": true,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": false
92
+ },
93
+ "32011": {
94
+ "content": "ö",
95
+ "lstrip": false,
96
+ "normalized": true,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": false
100
+ },
101
+ "32012": {
102
+ "content": "û",
103
+ "lstrip": false,
104
+ "normalized": true,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": false
108
+ },
109
+ "32013": {
110
+ "content": "<|begin▁of▁sentence|>",
111
+ "lstrip": false,
112
+ "normalized": true,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "32014": {
118
+ "content": "<|end▁of▁sentence|>",
119
+ "lstrip": false,
120
+ "normalized": true,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": true
124
+ },
125
+ "32015": {
126
+ "content": "<|fim▁hole|>",
127
+ "lstrip": false,
128
+ "normalized": true,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "32016": {
134
+ "content": "<|fim▁begin|>",
135
+ "lstrip": false,
136
+ "normalized": true,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "32017": {
142
+ "content": "<|fim▁end|>",
143
+ "lstrip": false,
144
+ "normalized": true,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "32018": {
150
+ "content": "<pad>",
151
+ "lstrip": false,
152
+ "normalized": true,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "32019": {
158
+ "content": "<|User|>",
159
+ "lstrip": false,
160
+ "normalized": true,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "32020": {
166
+ "content": "<|Assistant|>",
167
+ "lstrip": false,
168
+ "normalized": true,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "32021": {
174
+ "content": "<|EOT|>",
175
+ "lstrip": false,
176
+ "normalized": true,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": true
180
+ }
181
+ },
182
+ "bos_token": "<|begin▁of▁sentence|>",
183
+ "chat_template": "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set ns.found = true -%}\n {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{% if add_generation_prompt %}\n{{'### Response:'}}\n{% endif %}",
184
+ "clean_up_tokenization_spaces": false,
185
+ "eos_token": "<|EOT|>",
186
+ "legacy": true,
187
+ "model_max_length": 16384,
188
+ "pad_token": "<|end▁of▁sentence|>",
189
+ "padding_side": "left",
190
+ "sp_model_kwargs": {},
191
+ "tokenizer_class": "LlamaTokenizerFast",
192
+ "unk_token": null,
193
+ "use_default_system_prompt": false
194
+ }
trainer_state.json ADDED
@@ -0,0 +1,1626 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.9961696306429548,
5
+ "eval_steps": 500,
6
+ "global_step": 228,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "grad_norm": 2.200422763824463,
14
+ "learning_rate": 3.5714285714285714e-06,
15
+ "loss": 0.2391,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.02,
20
+ "grad_norm": 2.270944118499756,
21
+ "learning_rate": 7.142857142857143e-06,
22
+ "loss": 0.2417,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.03,
27
+ "grad_norm": 1.8967660665512085,
28
+ "learning_rate": 1.0714285714285714e-05,
29
+ "loss": 0.2323,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.04,
34
+ "grad_norm": 0.6448235511779785,
35
+ "learning_rate": 1.4285714285714285e-05,
36
+ "loss": 0.2077,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.04,
41
+ "grad_norm": 0.9924548864364624,
42
+ "learning_rate": 1.785714285714286e-05,
43
+ "loss": 0.2085,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.05,
48
+ "grad_norm": 0.5292760729789734,
49
+ "learning_rate": 2.1428571428571428e-05,
50
+ "loss": 0.199,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.06,
55
+ "grad_norm": 0.28642991185188293,
56
+ "learning_rate": 2.5e-05,
57
+ "loss": 0.1742,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.07,
62
+ "grad_norm": 0.4373553693294525,
63
+ "learning_rate": 2.4998737044926244e-05,
64
+ "loss": 0.1898,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.08,
69
+ "grad_norm": 0.3418498933315277,
70
+ "learning_rate": 2.4994948434913852e-05,
71
+ "loss": 0.1841,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.09,
76
+ "grad_norm": 0.1848132610321045,
77
+ "learning_rate": 2.498863493553791e-05,
78
+ "loss": 0.1706,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.1,
83
+ "grad_norm": 0.19469691812992096,
84
+ "learning_rate": 2.4979797822584984e-05,
85
+ "loss": 0.1722,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.11,
90
+ "grad_norm": 0.1826794296503067,
91
+ "learning_rate": 2.4968438881795332e-05,
92
+ "loss": 0.1707,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.11,
97
+ "grad_norm": 0.14234064519405365,
98
+ "learning_rate": 2.4954560408502066e-05,
99
+ "loss": 0.1552,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.12,
104
+ "grad_norm": 0.1327579766511917,
105
+ "learning_rate": 2.4938165207167307e-05,
106
+ "loss": 0.1639,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.13,
111
+ "grad_norm": 0.12732426822185516,
112
+ "learning_rate": 2.4919256590815486e-05,
113
+ "loss": 0.1719,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.14,
118
+ "grad_norm": 0.10535147786140442,
119
+ "learning_rate": 2.489783838036388e-05,
120
+ "loss": 0.1626,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.15,
125
+ "grad_norm": 0.08864012360572815,
126
+ "learning_rate": 2.48739149038505e-05,
127
+ "loss": 0.1557,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.16,
132
+ "grad_norm": 0.08972543478012085,
133
+ "learning_rate": 2.4847490995559502e-05,
134
+ "loss": 0.153,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.17,
139
+ "grad_norm": 0.08487411588430405,
140
+ "learning_rate": 2.4818571995044346e-05,
141
+ "loss": 0.1583,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.18,
146
+ "grad_norm": 0.07328126579523087,
147
+ "learning_rate": 2.4787163746048776e-05,
148
+ "loss": 0.1483,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.18,
153
+ "grad_norm": 0.07735934853553772,
154
+ "learning_rate": 2.4753272595325976e-05,
155
+ "loss": 0.1448,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.19,
160
+ "grad_norm": 0.08453325182199478,
161
+ "learning_rate": 2.471690539135607e-05,
162
+ "loss": 0.154,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.2,
167
+ "grad_norm": 0.06923778355121613,
168
+ "learning_rate": 2.467806948296223e-05,
169
+ "loss": 0.1441,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.21,
174
+ "grad_norm": 0.07757125049829483,
175
+ "learning_rate": 2.463677271782565e-05,
176
+ "loss": 0.1399,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.22,
181
+ "grad_norm": 0.06422542780637741,
182
+ "learning_rate": 2.459302344089979e-05,
183
+ "loss": 0.14,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.23,
188
+ "grad_norm": 0.102714404463768,
189
+ "learning_rate": 2.4546830492724048e-05,
190
+ "loss": 0.14,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.24,
195
+ "grad_norm": 0.07906186580657959,
196
+ "learning_rate": 2.449820320763735e-05,
197
+ "loss": 0.1421,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.25,
202
+ "grad_norm": 0.07414320111274719,
203
+ "learning_rate": 2.4447151411891924e-05,
204
+ "loss": 0.1371,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.25,
209
+ "grad_norm": 0.059447940438985825,
210
+ "learning_rate": 2.4393685421667677e-05,
211
+ "loss": 0.1365,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.26,
216
+ "grad_norm": 0.07829699665307999,
217
+ "learning_rate": 2.43378160409876e-05,
218
+ "loss": 0.1397,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.27,
223
+ "grad_norm": 0.061849720776081085,
224
+ "learning_rate": 2.427955455953453e-05,
225
+ "loss": 0.1276,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.28,
230
+ "grad_norm": 0.06188429519534111,
231
+ "learning_rate": 2.4218912750369848e-05,
232
+ "loss": 0.131,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.29,
237
+ "grad_norm": 0.06475334614515305,
238
+ "learning_rate": 2.4155902867554447e-05,
239
+ "loss": 0.1408,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.3,
244
+ "grad_norm": 0.060506466776132584,
245
+ "learning_rate": 2.409053764367252e-05,
246
+ "loss": 0.1413,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.31,
251
+ "grad_norm": 0.05846070498228073,
252
+ "learning_rate": 2.4022830287258646e-05,
253
+ "loss": 0.1367,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.32,
258
+ "grad_norm": 0.10868549346923828,
259
+ "learning_rate": 2.3952794480128716e-05,
260
+ "loss": 0.1348,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.32,
265
+ "grad_norm": 0.058679353445768356,
266
+ "learning_rate": 2.3880444374615208e-05,
267
+ "loss": 0.1349,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.33,
272
+ "grad_norm": 0.06427464634180069,
273
+ "learning_rate": 2.380579459070737e-05,
274
+ "loss": 0.1331,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.34,
279
+ "grad_norm": 0.05250772088766098,
280
+ "learning_rate": 2.372886021309694e-05,
281
+ "loss": 0.1219,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.35,
286
+ "grad_norm": 0.05977998301386833,
287
+ "learning_rate": 2.3649656788129932e-05,
288
+ "loss": 0.1249,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.36,
293
+ "grad_norm": 0.06137443706393242,
294
+ "learning_rate": 2.3568200320665124e-05,
295
+ "loss": 0.1283,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.37,
300
+ "grad_norm": 0.06237027794122696,
301
+ "learning_rate": 2.348450727083994e-05,
302
+ "loss": 0.1319,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.38,
307
+ "grad_norm": 0.06364572048187256,
308
+ "learning_rate": 2.3398594550744292e-05,
309
+ "loss": 0.1255,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.39,
314
+ "grad_norm": 0.06878168880939484,
315
+ "learning_rate": 2.3310479521003087e-05,
316
+ "loss": 0.1266,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.39,
321
+ "grad_norm": 0.05501376464962959,
322
+ "learning_rate": 2.3220179987268153e-05,
323
+ "loss": 0.1258,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.4,
328
+ "grad_norm": 0.0640014111995697,
329
+ "learning_rate": 2.312771419662018e-05,
330
+ "loss": 0.1255,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.41,
335
+ "grad_norm": 0.07001198083162308,
336
+ "learning_rate": 2.303310083388147e-05,
337
+ "loss": 0.1238,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.42,
342
+ "grad_norm": 0.09296014904975891,
343
+ "learning_rate": 2.293635901784028e-05,
344
+ "loss": 0.1263,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.43,
349
+ "grad_norm": 0.06383784860372543,
350
+ "learning_rate": 2.2837508297387384e-05,
351
+ "loss": 0.1307,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.44,
356
+ "grad_norm": 0.0691072940826416,
357
+ "learning_rate": 2.2736568647565813e-05,
358
+ "loss": 0.1299,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.45,
363
+ "grad_norm": 0.09465464949607849,
364
+ "learning_rate": 2.2633560465534438e-05,
365
+ "loss": 0.1266,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.46,
370
+ "grad_norm": 0.07103528082370758,
371
+ "learning_rate": 2.252850456644623e-05,
372
+ "loss": 0.1238,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.46,
377
+ "grad_norm": 0.07062829285860062,
378
+ "learning_rate": 2.2421422179242118e-05,
379
+ "loss": 0.1224,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.47,
384
+ "grad_norm": 0.08078863471746445,
385
+ "learning_rate": 2.2312334942361186e-05,
386
+ "loss": 0.128,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.48,
391
+ "grad_norm": 0.06471696496009827,
392
+ "learning_rate": 2.220126489936811e-05,
393
+ "loss": 0.1285,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.49,
398
+ "grad_norm": 0.07739695906639099,
399
+ "learning_rate": 2.2088234494498793e-05,
400
+ "loss": 0.1258,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.5,
405
+ "grad_norm": 0.07663910835981369,
406
+ "learning_rate": 2.1973266568124963e-05,
407
+ "loss": 0.1279,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.51,
412
+ "grad_norm": 0.07442884147167206,
413
+ "learning_rate": 2.1856384352138765e-05,
414
+ "loss": 0.1212,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.52,
419
+ "grad_norm": 0.0762372687458992,
420
+ "learning_rate": 2.173761146525824e-05,
421
+ "loss": 0.1246,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.53,
426
+ "grad_norm": 0.0701020210981369,
427
+ "learning_rate": 2.1616971908254602e-05,
428
+ "loss": 0.1208,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.53,
433
+ "grad_norm": 0.07476264983415604,
434
+ "learning_rate": 2.1494490059102352e-05,
435
+ "loss": 0.1267,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.54,
440
+ "grad_norm": 0.08157288283109665,
441
+ "learning_rate": 2.137019066805314e-05,
442
+ "loss": 0.1214,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.55,
447
+ "grad_norm": 0.08489346504211426,
448
+ "learning_rate": 2.1244098852634424e-05,
449
+ "loss": 0.1166,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.56,
454
+ "grad_norm": 0.07014652341604233,
455
+ "learning_rate": 2.1116240092573887e-05,
456
+ "loss": 0.1219,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.57,
461
+ "grad_norm": 0.07439316809177399,
462
+ "learning_rate": 2.0986640224650684e-05,
463
+ "loss": 0.1226,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.58,
468
+ "grad_norm": 0.07922874391078949,
469
+ "learning_rate": 2.0855325437474545e-05,
470
+ "loss": 0.1176,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.59,
475
+ "grad_norm": 0.07696756720542908,
476
+ "learning_rate": 2.072232226619374e-05,
477
+ "loss": 0.116,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.6,
482
+ "grad_norm": 0.07184255868196487,
483
+ "learning_rate": 2.058765758713307e-05,
484
+ "loss": 0.1205,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.6,
489
+ "grad_norm": 0.09004761278629303,
490
+ "learning_rate": 2.0451358612362883e-05,
491
+ "loss": 0.1233,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.61,
496
+ "grad_norm": 0.08411566913127899,
497
+ "learning_rate": 2.0313452884200258e-05,
498
+ "loss": 0.1179,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.62,
503
+ "grad_norm": 0.07372688502073288,
504
+ "learning_rate": 2.0173968269643438e-05,
505
+ "loss": 0.1156,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.63,
510
+ "grad_norm": 0.09492815285921097,
511
+ "learning_rate": 2.0032932954740708e-05,
512
+ "loss": 0.1173,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.64,
517
+ "grad_norm": 0.07901427894830704,
518
+ "learning_rate": 1.98903754388947e-05,
519
+ "loss": 0.1152,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.65,
524
+ "grad_norm": 0.07680545747280121,
525
+ "learning_rate": 1.9746324529103484e-05,
526
+ "loss": 0.1249,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.66,
531
+ "grad_norm": 0.07813062518835068,
532
+ "learning_rate": 1.9600809334139446e-05,
533
+ "loss": 0.1173,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.67,
538
+ "grad_norm": 0.078568235039711,
539
+ "learning_rate": 1.94538592586672e-05,
540
+ "loss": 0.1228,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.67,
545
+ "grad_norm": 0.07648710161447525,
546
+ "learning_rate": 1.9305503997301683e-05,
547
+ "loss": 0.1295,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.68,
552
+ "grad_norm": 0.07838192582130432,
553
+ "learning_rate": 1.9155773528607706e-05,
554
+ "loss": 0.1244,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.69,
559
+ "grad_norm": 0.07754414528608322,
560
+ "learning_rate": 1.9004698109042098e-05,
561
+ "loss": 0.1164,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.7,
566
+ "grad_norm": 0.086074598133564,
567
+ "learning_rate": 1.885230826683967e-05,
568
+ "loss": 0.1169,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.71,
573
+ "grad_norm": 0.08760019391775131,
574
+ "learning_rate": 1.8698634795844334e-05,
575
+ "loss": 0.1142,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.72,
580
+ "grad_norm": 0.08039297163486481,
581
+ "learning_rate": 1.8543708749286472e-05,
582
+ "loss": 0.1225,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.73,
587
+ "grad_norm": 0.08440306782722473,
588
+ "learning_rate": 1.8387561433507935e-05,
589
+ "loss": 0.1153,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.74,
594
+ "grad_norm": 0.07035987824201584,
595
+ "learning_rate": 1.8230224401635877e-05,
596
+ "loss": 0.1154,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.74,
601
+ "grad_norm": 0.07153236120939255,
602
+ "learning_rate": 1.8071729447206733e-05,
603
+ "loss": 0.1106,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.75,
608
+ "grad_norm": 0.0721370279788971,
609
+ "learning_rate": 1.791210859774159e-05,
610
+ "loss": 0.1174,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.76,
615
+ "grad_norm": 0.06717287003993988,
616
+ "learning_rate": 1.775139410827433e-05,
617
+ "loss": 0.1212,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.77,
622
+ "grad_norm": 0.07079152017831802,
623
+ "learning_rate": 1.7589618454833732e-05,
624
+ "loss": 0.121,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.78,
629
+ "grad_norm": 0.07359743118286133,
630
+ "learning_rate": 1.742681432788097e-05,
631
+ "loss": 0.1153,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.79,
636
+ "grad_norm": 0.07773274928331375,
637
+ "learning_rate": 1.7263014625703755e-05,
638
+ "loss": 0.1149,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.8,
643
+ "grad_norm": 0.11045992374420166,
644
+ "learning_rate": 1.7098252447768474e-05,
645
+ "loss": 0.1183,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.81,
650
+ "grad_norm": 0.10004275292158127,
651
+ "learning_rate": 1.6932561088031695e-05,
652
+ "loss": 0.1097,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.81,
657
+ "grad_norm": 0.07924434542655945,
658
+ "learning_rate": 1.6765974028212384e-05,
659
+ "loss": 0.1131,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.82,
664
+ "grad_norm": 0.08435513079166412,
665
+ "learning_rate": 1.6598524931026116e-05,
666
+ "loss": 0.1089,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.83,
671
+ "grad_norm": 0.07069804519414902,
672
+ "learning_rate": 1.64302476333828e-05,
673
+ "loss": 0.1134,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 0.84,
678
+ "grad_norm": 0.09089860320091248,
679
+ "learning_rate": 1.626117613954913e-05,
680
+ "loss": 0.1087,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 0.85,
685
+ "grad_norm": 0.08091191947460175,
686
+ "learning_rate": 1.6091344614277258e-05,
687
+ "loss": 0.1177,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 0.86,
692
+ "grad_norm": 0.35365355014801025,
693
+ "learning_rate": 1.5920787375901038e-05,
694
+ "loss": 0.1172,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 0.87,
699
+ "grad_norm": 0.08567700535058975,
700
+ "learning_rate": 1.5749538889401193e-05,
701
+ "loss": 0.1148,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 0.88,
706
+ "grad_norm": 0.08759979903697968,
707
+ "learning_rate": 1.5577633759440906e-05,
708
+ "loss": 0.1089,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 0.88,
713
+ "grad_norm": 0.08318813890218735,
714
+ "learning_rate": 1.540510672337316e-05,
715
+ "loss": 0.1196,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 0.89,
720
+ "grad_norm": 0.07813245803117752,
721
+ "learning_rate": 1.5231992644221237e-05,
722
+ "loss": 0.1104,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 0.9,
727
+ "grad_norm": 0.08284571766853333,
728
+ "learning_rate": 1.5058326503633877e-05,
729
+ "loss": 0.117,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 0.91,
734
+ "grad_norm": 0.09160487353801727,
735
+ "learning_rate": 1.4884143394816422e-05,
736
+ "loss": 0.1139,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 0.92,
741
+ "grad_norm": 0.22021886706352234,
742
+ "learning_rate": 1.4709478515439437e-05,
743
+ "loss": 0.1155,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 0.93,
748
+ "grad_norm": 0.08781706541776657,
749
+ "learning_rate": 1.4534367160526222e-05,
750
+ "loss": 0.119,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 0.94,
755
+ "grad_norm": 0.08312955498695374,
756
+ "learning_rate": 1.4358844715320646e-05,
757
+ "loss": 0.11,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 0.95,
762
+ "grad_norm": 0.08433741331100464,
763
+ "learning_rate": 1.4182946648136743e-05,
764
+ "loss": 0.112,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 0.95,
769
+ "grad_norm": 0.14074306190013885,
770
+ "learning_rate": 1.4006708503191538e-05,
771
+ "loss": 0.1179,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 0.96,
776
+ "grad_norm": 0.0972323939204216,
777
+ "learning_rate": 1.383016589342253e-05,
778
+ "loss": 0.1119,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 0.97,
783
+ "grad_norm": 0.11136642098426819,
784
+ "learning_rate": 1.3653354493291276e-05,
785
+ "loss": 0.12,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 0.98,
790
+ "grad_norm": 0.0775907039642334,
791
+ "learning_rate": 1.347631003157456e-05,
792
+ "loss": 0.1106,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 0.99,
797
+ "grad_norm": 0.08658675849437714,
798
+ "learning_rate": 1.3299068284144572e-05,
799
+ "loss": 0.1141,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 1.0,
804
+ "grad_norm": 0.08315402269363403,
805
+ "learning_rate": 1.3121665066739585e-05,
806
+ "loss": 0.1104,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 1.01,
811
+ "grad_norm": 0.09935840964317322,
812
+ "learning_rate": 1.2944136227726567e-05,
813
+ "loss": 0.1122,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 1.02,
818
+ "grad_norm": 0.08042165637016296,
819
+ "learning_rate": 1.2766517640857185e-05,
820
+ "loss": 0.1089,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 1.02,
825
+ "grad_norm": 0.08209645003080368,
826
+ "learning_rate": 1.258884519801872e-05,
827
+ "loss": 0.1091,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 1.03,
832
+ "grad_norm": 0.07619890570640564,
833
+ "learning_rate": 1.241115480198128e-05,
834
+ "loss": 0.1066,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 1.04,
839
+ "grad_norm": 0.1068926528096199,
840
+ "learning_rate": 1.2233482359142818e-05,
841
+ "loss": 0.1044,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 1.05,
846
+ "grad_norm": 0.0765824168920517,
847
+ "learning_rate": 1.205586377227344e-05,
848
+ "loss": 0.1088,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 1.06,
853
+ "grad_norm": 0.08393848687410355,
854
+ "learning_rate": 1.1878334933260416e-05,
855
+ "loss": 0.1092,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 1.07,
860
+ "grad_norm": 0.0855385884642601,
861
+ "learning_rate": 1.1700931715855431e-05,
862
+ "loss": 0.1127,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 1.08,
867
+ "grad_norm": 0.08480715751647949,
868
+ "learning_rate": 1.1523689968425443e-05,
869
+ "loss": 0.1103,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 1.09,
874
+ "grad_norm": 0.1015097051858902,
875
+ "learning_rate": 1.1346645506708726e-05,
876
+ "loss": 0.1079,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 1.09,
881
+ "grad_norm": 0.07940834015607834,
882
+ "learning_rate": 1.1169834106577472e-05,
883
+ "loss": 0.1113,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 1.1,
888
+ "grad_norm": 0.0852329432964325,
889
+ "learning_rate": 1.0993291496808463e-05,
890
+ "loss": 0.1141,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 1.11,
895
+ "grad_norm": 0.08691573143005371,
896
+ "learning_rate": 1.081705335186326e-05,
897
+ "loss": 0.1055,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 1.12,
902
+ "grad_norm": 0.1047862097620964,
903
+ "learning_rate": 1.0641155284679352e-05,
904
+ "loss": 0.111,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 1.13,
909
+ "grad_norm": 0.11156802624464035,
910
+ "learning_rate": 1.0465632839473777e-05,
911
+ "loss": 0.1102,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 1.14,
916
+ "grad_norm": 0.09143494814634323,
917
+ "learning_rate": 1.0290521484560568e-05,
918
+ "loss": 0.1204,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 1.15,
923
+ "grad_norm": 0.09311190247535706,
924
+ "learning_rate": 1.0115856605183581e-05,
925
+ "loss": 0.1064,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 1.16,
930
+ "grad_norm": 0.09226440638303757,
931
+ "learning_rate": 9.941673496366128e-06,
932
+ "loss": 0.1031,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 1.16,
937
+ "grad_norm": 0.10318831354379654,
938
+ "learning_rate": 9.768007355778764e-06,
939
+ "loss": 0.1108,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 1.17,
944
+ "grad_norm": 0.07738009840250015,
945
+ "learning_rate": 9.594893276626845e-06,
946
+ "loss": 0.1065,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 1.18,
951
+ "grad_norm": 0.098593570291996,
952
+ "learning_rate": 9.422366240559092e-06,
953
+ "loss": 0.1032,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 1.19,
958
+ "grad_norm": 0.08724181354045868,
959
+ "learning_rate": 9.25046111059881e-06,
960
+ "loss": 0.1064,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 1.2,
965
+ "grad_norm": 0.07838578522205353,
966
+ "learning_rate": 9.079212624098965e-06,
967
+ "loss": 0.1089,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 1.21,
972
+ "grad_norm": 0.09138258546590805,
973
+ "learning_rate": 8.908655385722745e-06,
974
+ "loss": 0.1009,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 1.22,
979
+ "grad_norm": 0.10464809089899063,
980
+ "learning_rate": 8.738823860450874e-06,
981
+ "loss": 0.1052,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 1.23,
986
+ "grad_norm": 0.08973057568073273,
987
+ "learning_rate": 8.569752366617206e-06,
988
+ "loss": 0.107,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 1.23,
993
+ "grad_norm": 0.09044581651687622,
994
+ "learning_rate": 8.40147506897389e-06,
995
+ "loss": 0.1081,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 1.24,
1000
+ "grad_norm": 0.10169443488121033,
1001
+ "learning_rate": 8.23402597178762e-06,
1002
+ "loss": 0.1079,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 1.25,
1007
+ "grad_norm": 0.09864594787359238,
1008
+ "learning_rate": 8.067438911968305e-06,
1009
+ "loss": 0.1168,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 1.26,
1014
+ "grad_norm": 0.10119356215000153,
1015
+ "learning_rate": 7.90174755223153e-06,
1016
+ "loss": 0.1008,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 1.27,
1021
+ "grad_norm": 0.07849200069904327,
1022
+ "learning_rate": 7.736985374296246e-06,
1023
+ "loss": 0.1098,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 1.28,
1028
+ "grad_norm": 0.07834988087415695,
1029
+ "learning_rate": 7.5731856721190305e-06,
1030
+ "loss": 0.1094,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 1.29,
1035
+ "grad_norm": 0.07924801856279373,
1036
+ "learning_rate": 7.41038154516627e-06,
1037
+ "loss": 0.1086,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 1.3,
1042
+ "grad_norm": 0.08968242257833481,
1043
+ "learning_rate": 7.248605891725677e-06,
1044
+ "loss": 0.1099,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 1.3,
1049
+ "grad_norm": 0.07991733402013779,
1050
+ "learning_rate": 7.087891402258412e-06,
1051
+ "loss": 0.1038,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 1.31,
1056
+ "grad_norm": 0.07541777938604355,
1057
+ "learning_rate": 6.928270552793273e-06,
1058
+ "loss": 0.1108,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 1.32,
1063
+ "grad_norm": 0.09483880549669266,
1064
+ "learning_rate": 6.769775598364126e-06,
1065
+ "loss": 0.1026,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 1.33,
1070
+ "grad_norm": 0.07294677942991257,
1071
+ "learning_rate": 6.612438566492066e-06,
1072
+ "loss": 0.1031,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 1.34,
1077
+ "grad_norm": 0.0786866620182991,
1078
+ "learning_rate": 6.456291250713531e-06,
1079
+ "loss": 0.1095,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 1.35,
1084
+ "grad_norm": 0.09206941723823547,
1085
+ "learning_rate": 6.301365204155671e-06,
1086
+ "loss": 0.1069,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 1.36,
1091
+ "grad_norm": 0.08430401235818863,
1092
+ "learning_rate": 6.147691733160338e-06,
1093
+ "loss": 0.1039,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 1.37,
1098
+ "grad_norm": 0.08027198910713196,
1099
+ "learning_rate": 5.995301890957908e-06,
1100
+ "loss": 0.1096,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 1.37,
1105
+ "grad_norm": 0.07375296205282211,
1106
+ "learning_rate": 5.8442264713922956e-06,
1107
+ "loss": 0.106,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 1.38,
1112
+ "grad_norm": 0.07248899340629578,
1113
+ "learning_rate": 5.694496002698316e-06,
1114
+ "loss": 0.0992,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 1.39,
1119
+ "grad_norm": 0.08779315650463104,
1120
+ "learning_rate": 5.5461407413328005e-06,
1121
+ "loss": 0.112,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 1.4,
1126
+ "grad_norm": 0.08409138768911362,
1127
+ "learning_rate": 5.399190665860554e-06,
1128
+ "loss": 0.1075,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 1.41,
1133
+ "grad_norm": 0.08023138344287872,
1134
+ "learning_rate": 5.253675470896521e-06,
1135
+ "loss": 0.1057,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 1.42,
1140
+ "grad_norm": 0.08220675587654114,
1141
+ "learning_rate": 5.10962456110531e-06,
1142
+ "loss": 0.1052,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 1.43,
1147
+ "grad_norm": 0.12142012268304825,
1148
+ "learning_rate": 4.967067045259296e-06,
1149
+ "loss": 0.1089,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 1.44,
1154
+ "grad_norm": 0.06706613302230835,
1155
+ "learning_rate": 4.826031730356559e-06,
1156
+ "loss": 0.1022,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 1.44,
1161
+ "grad_norm": 0.086565762758255,
1162
+ "learning_rate": 4.6865471157997455e-06,
1163
+ "loss": 0.1074,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 1.45,
1168
+ "grad_norm": 0.10480491816997528,
1169
+ "learning_rate": 4.548641387637119e-06,
1170
+ "loss": 0.1077,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 1.46,
1175
+ "grad_norm": 0.07782545685768127,
1176
+ "learning_rate": 4.4123424128669325e-06,
1177
+ "loss": 0.1081,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 1.47,
1182
+ "grad_norm": 0.06547481566667557,
1183
+ "learning_rate": 4.277677733806264e-06,
1184
+ "loss": 0.1041,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 1.48,
1189
+ "grad_norm": 0.07722113281488419,
1190
+ "learning_rate": 4.144674562525456e-06,
1191
+ "loss": 0.1074,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 1.49,
1196
+ "grad_norm": 0.0793066918849945,
1197
+ "learning_rate": 4.013359775349314e-06,
1198
+ "loss": 0.1015,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 1.5,
1203
+ "grad_norm": 0.07437407225370407,
1204
+ "learning_rate": 3.883759907426117e-06,
1205
+ "loss": 0.1125,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 1.51,
1210
+ "grad_norm": 0.08786901831626892,
1211
+ "learning_rate": 3.75590114736558e-06,
1212
+ "loss": 0.1096,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 1.51,
1217
+ "grad_norm": 0.07370700687170029,
1218
+ "learning_rate": 3.629809331946862e-06,
1219
+ "loss": 0.1063,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 1.52,
1224
+ "grad_norm": 0.07233896851539612,
1225
+ "learning_rate": 3.5055099408976485e-06,
1226
+ "loss": 0.1038,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 1.53,
1231
+ "grad_norm": 0.10337869077920914,
1232
+ "learning_rate": 3.3830280917453996e-06,
1233
+ "loss": 0.0977,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 1.54,
1238
+ "grad_norm": 0.07350175082683563,
1239
+ "learning_rate": 3.262388534741763e-06,
1240
+ "loss": 0.1113,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 1.55,
1245
+ "grad_norm": 0.07469906657934189,
1246
+ "learning_rate": 3.143615647861235e-06,
1247
+ "loss": 0.1051,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 1.56,
1252
+ "grad_norm": 0.08246980607509613,
1253
+ "learning_rate": 3.0267334318750422e-06,
1254
+ "loss": 0.1019,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 1.57,
1259
+ "grad_norm": 0.08083990961313248,
1260
+ "learning_rate": 2.9117655055012113e-06,
1261
+ "loss": 0.1126,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 1.58,
1266
+ "grad_norm": 0.09245346486568451,
1267
+ "learning_rate": 2.798735100631891e-06,
1268
+ "loss": 0.1034,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 1.58,
1273
+ "grad_norm": 0.09014884382486343,
1274
+ "learning_rate": 2.6876650576388177e-06,
1275
+ "loss": 0.1066,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 1.59,
1280
+ "grad_norm": 0.07952243089675903,
1281
+ "learning_rate": 2.5785778207578825e-06,
1282
+ "loss": 0.1104,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 1.6,
1287
+ "grad_norm": 0.07580631226301193,
1288
+ "learning_rate": 2.4714954335537734e-06,
1289
+ "loss": 0.1132,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 1.61,
1294
+ "grad_norm": 0.07747604697942734,
1295
+ "learning_rate": 2.3664395344655657e-06,
1296
+ "loss": 0.1063,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 1.62,
1301
+ "grad_norm": 0.09613858908414841,
1302
+ "learning_rate": 2.263431352434188e-06,
1303
+ "loss": 0.1064,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 1.63,
1308
+ "grad_norm": 0.07491160929203033,
1309
+ "learning_rate": 2.162491702612618e-06,
1310
+ "loss": 0.1114,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 1.64,
1315
+ "grad_norm": 0.08003370463848114,
1316
+ "learning_rate": 2.063640982159723e-06,
1317
+ "loss": 0.1074,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 1.65,
1322
+ "grad_norm": 0.06978148221969604,
1323
+ "learning_rate": 1.96689916611853e-06,
1324
+ "loss": 0.1044,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 1.65,
1329
+ "grad_norm": 0.07151058316230774,
1330
+ "learning_rate": 1.8722858033798252e-06,
1331
+ "loss": 0.1053,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 1.66,
1336
+ "grad_norm": 0.07286762446165085,
1337
+ "learning_rate": 1.7798200127318518e-06,
1338
+ "loss": 0.106,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 1.67,
1343
+ "grad_norm": 0.0802750289440155,
1344
+ "learning_rate": 1.6895204789969172e-06,
1345
+ "loss": 0.1035,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 1.68,
1350
+ "grad_norm": 0.07332754135131836,
1351
+ "learning_rate": 1.601405449255712e-06,
1352
+ "loss": 0.1013,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 1.69,
1357
+ "grad_norm": 0.07986527681350708,
1358
+ "learning_rate": 1.515492729160059e-06,
1359
+ "loss": 0.1055,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 1.7,
1364
+ "grad_norm": 0.10134772211313248,
1365
+ "learning_rate": 1.4317996793348776e-06,
1366
+ "loss": 0.1108,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 1.71,
1371
+ "grad_norm": 0.0696934163570404,
1372
+ "learning_rate": 1.3503432118700711e-06,
1373
+ "loss": 0.0981,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 1.72,
1378
+ "grad_norm": 0.06954754889011383,
1379
+ "learning_rate": 1.2711397869030611e-06,
1380
+ "loss": 0.1036,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 1.72,
1385
+ "grad_norm": 0.07122325897216797,
1386
+ "learning_rate": 1.1942054092926314e-06,
1387
+ "loss": 0.1079,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 1.73,
1392
+ "grad_norm": 0.07534755021333694,
1393
+ "learning_rate": 1.1195556253847938e-06,
1394
+ "loss": 0.1072,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 1.74,
1399
+ "grad_norm": 0.08263551443815231,
1400
+ "learning_rate": 1.0472055198712847e-06,
1401
+ "loss": 0.1054,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 1.75,
1406
+ "grad_norm": 0.07160968333482742,
1407
+ "learning_rate": 9.771697127413562e-07,
1408
+ "loss": 0.1072,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 1.76,
1413
+ "grad_norm": 0.09845629334449768,
1414
+ "learning_rate": 9.094623563274826e-07,
1415
+ "loss": 0.1167,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 1.77,
1420
+ "grad_norm": 0.0846390426158905,
1421
+ "learning_rate": 8.440971324455538e-07,
1422
+ "loss": 0.1083,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 1.78,
1427
+ "grad_norm": 0.06978083401918411,
1428
+ "learning_rate": 7.810872496301524e-07,
1429
+ "loss": 0.1038,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 1.79,
1434
+ "grad_norm": 0.07085734605789185,
1435
+ "learning_rate": 7.204454404654712e-07,
1436
+ "loss": 0.1058,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 1.79,
1441
+ "grad_norm": 0.14568722248077393,
1442
+ "learning_rate": 6.621839590124038e-07,
1443
+ "loss": 0.1065,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 1.8,
1448
+ "grad_norm": 0.08834976702928543,
1449
+ "learning_rate": 6.063145783323232e-07,
1450
+ "loss": 0.111,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 1.81,
1455
+ "grad_norm": 0.07381124049425125,
1456
+ "learning_rate": 5.528485881080792e-07,
1457
+ "loss": 0.1003,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 1.82,
1462
+ "grad_norm": 0.0735548734664917,
1463
+ "learning_rate": 5.017967923626507e-07,
1464
+ "loss": 0.104,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 1.83,
1469
+ "grad_norm": 0.08148917555809021,
1470
+ "learning_rate": 4.5316950727595093e-07,
1471
+ "loss": 0.1008,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 1.84,
1476
+ "grad_norm": 0.07719023525714874,
1477
+ "learning_rate": 4.0697655910021116e-07,
1478
+ "loss": 0.1036,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 1.85,
1483
+ "grad_norm": 0.07759005576372147,
1484
+ "learning_rate": 3.6322728217434986e-07,
1485
+ "loss": 0.1045,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 1.86,
1490
+ "grad_norm": 0.06520310044288635,
1491
+ "learning_rate": 3.2193051703777316e-07,
1492
+ "loss": 0.1024,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 1.86,
1497
+ "grad_norm": 0.10676794499158859,
1498
+ "learning_rate": 2.8309460864393013e-07,
1499
+ "loss": 0.1035,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 1.87,
1504
+ "grad_norm": 0.09270460903644562,
1505
+ "learning_rate": 2.467274046740256e-07,
1506
+ "loss": 0.1053,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 1.88,
1511
+ "grad_norm": 0.07552586495876312,
1512
+ "learning_rate": 2.128362539512277e-07,
1513
+ "loss": 0.1009,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 1.89,
1518
+ "grad_norm": 0.09857797622680664,
1519
+ "learning_rate": 1.814280049556555e-07,
1520
+ "loss": 0.1067,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 1.9,
1525
+ "grad_norm": 0.07935313880443573,
1526
+ "learning_rate": 1.5250900444049866e-07,
1527
+ "loss": 0.1059,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 1.91,
1532
+ "grad_norm": 0.07399848848581314,
1533
+ "learning_rate": 1.2608509614950305e-07,
1534
+ "loss": 0.105,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 1.92,
1539
+ "grad_norm": 0.07307755947113037,
1540
+ "learning_rate": 1.0216161963611942e-07,
1541
+ "loss": 0.1027,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 1.93,
1546
+ "grad_norm": 0.08035743981599808,
1547
+ "learning_rate": 8.074340918451245e-08,
1548
+ "loss": 0.1113,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 1.93,
1553
+ "grad_norm": 0.08408898860216141,
1554
+ "learning_rate": 6.183479283269344e-08,
1555
+ "loss": 0.1037,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 1.94,
1560
+ "grad_norm": 0.07623443007469177,
1561
+ "learning_rate": 4.5439591497933864e-08,
1562
+ "loss": 0.106,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 1.95,
1567
+ "grad_norm": 0.07881855964660645,
1568
+ "learning_rate": 3.156111820466906e-08,
1569
+ "loss": 0.105,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 1.96,
1574
+ "grad_norm": 0.08038265258073807,
1575
+ "learning_rate": 2.0202177415021284e-08,
1576
+ "loss": 0.0999,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 1.97,
1581
+ "grad_norm": 0.09288769960403442,
1582
+ "learning_rate": 1.1365064462093289e-08,
1583
+ "loss": 0.1055,
1584
+ "step": 225
1585
+ },
1586
+ {
1587
+ "epoch": 1.98,
1588
+ "grad_norm": 0.1022091954946518,
1589
+ "learning_rate": 5.05156508614768e-09,
1590
+ "loss": 0.1107,
1591
+ "step": 226
1592
+ },
1593
+ {
1594
+ "epoch": 1.99,
1595
+ "grad_norm": 0.07995381206274033,
1596
+ "learning_rate": 1.2629550737580653e-09,
1597
+ "loss": 0.1045,
1598
+ "step": 227
1599
+ },
1600
+ {
1601
+ "epoch": 2.0,
1602
+ "grad_norm": 0.06946219503879547,
1603
+ "learning_rate": 0.0,
1604
+ "loss": 0.1051,
1605
+ "step": 228
1606
+ },
1607
+ {
1608
+ "epoch": 2.0,
1609
+ "step": 228,
1610
+ "total_flos": 3.0718940538740933e+19,
1611
+ "train_loss": 0.12017694063353956,
1612
+ "train_runtime": 82043.4797,
1613
+ "train_samples_per_second": 4.278,
1614
+ "train_steps_per_second": 0.003
1615
+ }
1616
+ ],
1617
+ "logging_steps": 1.0,
1618
+ "max_steps": 228,
1619
+ "num_input_tokens_seen": 0,
1620
+ "num_train_epochs": 2,
1621
+ "save_steps": 1000,
1622
+ "total_flos": 3.0718940538740933e+19,
1623
+ "train_batch_size": 2,
1624
+ "trial_name": null,
1625
+ "trial_params": null
1626
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c3307f3b5bbabe173a4842ce7389d7c79f10afacb4e3b9a8df88aee9ae964844
3
+ size 7992