chujing007 commited on
Commit
c8366c4
1 Parent(s): 393a2f2

Upload 11 files

Browse files
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: GritLM/GritLM-7B
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.11.1
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "GritLM/GritLM-7B",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "q_proj",
24
+ "down_proj",
25
+ "o_proj",
26
+ "gate_proj",
27
+ "v_proj",
28
+ "up_proj",
29
+ "k_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeff1c5e572b3b0887453461e55481d8dee3887ee15ddf8fd7d762d9ce7ab3e0
3
+ size 671149168
config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "GritLM/GritLM-7B",
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "auto_map": {
8
+ "AutoModel": "GritLM/GritLM-7B--modeling_gritlm7b.MistralModel",
9
+ "AutoModelForCausalLM": "GritLM/GritLM-7B--modeling_gritlm7b.MistralForCausalLM",
10
+ "AutoModelForSequenceClassification": "GritLM/GritLM-7B--modeling_gritlm7b.MistralForSequenceClassification"
11
+ },
12
+ "bos_token_id": 1,
13
+ "eos_token_id": 2,
14
+ "hidden_act": "silu",
15
+ "hidden_size": 4096,
16
+ "id2label": {
17
+ "0": "LABEL_0"
18
+ },
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 14336,
21
+ "label2id": {
22
+ "LABEL_0": 0
23
+ },
24
+ "max_position_embeddings": 32768,
25
+ "model_type": "mistral",
26
+ "num_attention_heads": 32,
27
+ "num_hidden_layers": 32,
28
+ "num_key_value_heads": 8,
29
+ "rms_norm_eps": 1e-05,
30
+ "rope_theta": 10000.0,
31
+ "sliding_window": 4096,
32
+ "tie_word_embeddings": false,
33
+ "torch_dtype": "bfloat16",
34
+ "transformers_version": "4.42.4",
35
+ "use_cache": true,
36
+ "vocab_size": 32000
37
+ }
dataset_num_samples.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"embedding.jsonl": 57424, "generative.jsonl": 49759}
non_lora_trainables.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60fb82c3660319e6d0b239950b20c28181e97f1ade117dc0660b40e2ad94a89b
3
+ size 912
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
tokenizer_config.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "additional_special_tokens": [],
32
+ "bos_token": "<s>",
33
+ "chat_template": "{{ bos_token }}{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
34
+ "clean_up_tokenization_spaces": false,
35
+ "eos_token": "</s>",
36
+ "legacy": true,
37
+ "max_length": 2048,
38
+ "model_max_length": 1000000000000000019884624838656,
39
+ "pad_to_multiple_of": null,
40
+ "pad_token": "<s>",
41
+ "pad_token_type_id": 0,
42
+ "padding_side": "right",
43
+ "sp_model_kwargs": {},
44
+ "spaces_between_special_tokens": false,
45
+ "stride": 0,
46
+ "tokenizer_class": "LlamaTokenizer",
47
+ "truncation_side": "right",
48
+ "truncation_strategy": "longest_first",
49
+ "unk_token": "<unk>",
50
+ "use_default_system_prompt": false
51
+ }
trainer_state.json ADDED
@@ -0,0 +1,441 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 28712,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01741432153803288,
13
+ "grad_norm": 9.577305793762207,
14
+ "learning_rate": 1.160092807424594e-05,
15
+ "loss": 3.1831,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.03482864307606576,
20
+ "grad_norm": 12.14001178741455,
21
+ "learning_rate": 1.9900897666068224e-05,
22
+ "loss": 2.7736,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.052242964614098636,
27
+ "grad_norm": 13.129646301269531,
28
+ "learning_rate": 1.9541831238779175e-05,
29
+ "loss": 2.6251,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.06965728615213151,
34
+ "grad_norm": 13.319927215576172,
35
+ "learning_rate": 1.9182764811490127e-05,
36
+ "loss": 2.685,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 0.0870716076901644,
41
+ "grad_norm": 9.90979290008545,
42
+ "learning_rate": 1.882369838420108e-05,
43
+ "loss": 2.4835,
44
+ "step": 2500
45
+ },
46
+ {
47
+ "epoch": 0.10448592922819727,
48
+ "grad_norm": 7.106535911560059,
49
+ "learning_rate": 1.846463195691203e-05,
50
+ "loss": 2.4759,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 0.12190025076623015,
55
+ "grad_norm": 11.579163551330566,
56
+ "learning_rate": 1.8105565529622982e-05,
57
+ "loss": 2.4615,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 0.13931457230426303,
62
+ "grad_norm": 8.479988098144531,
63
+ "learning_rate": 1.7746499102333934e-05,
64
+ "loss": 2.5471,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 0.1567288938422959,
69
+ "grad_norm": 6.432307720184326,
70
+ "learning_rate": 1.7387432675044886e-05,
71
+ "loss": 2.4572,
72
+ "step": 4500
73
+ },
74
+ {
75
+ "epoch": 0.1741432153803288,
76
+ "grad_norm": 10.89651870727539,
77
+ "learning_rate": 1.7028366247755838e-05,
78
+ "loss": 2.4725,
79
+ "step": 5000
80
+ },
81
+ {
82
+ "epoch": 0.19155753691836166,
83
+ "grad_norm": 8.298269271850586,
84
+ "learning_rate": 1.6669299820466786e-05,
85
+ "loss": 2.4184,
86
+ "step": 5500
87
+ },
88
+ {
89
+ "epoch": 0.20897185845639454,
90
+ "grad_norm": 3.4620511531829834,
91
+ "learning_rate": 1.6310233393177738e-05,
92
+ "loss": 2.3301,
93
+ "step": 6000
94
+ },
95
+ {
96
+ "epoch": 0.22638617999442742,
97
+ "grad_norm": 5.399957180023193,
98
+ "learning_rate": 1.5951166965888693e-05,
99
+ "loss": 2.4545,
100
+ "step": 6500
101
+ },
102
+ {
103
+ "epoch": 0.2438005015324603,
104
+ "grad_norm": 8.993759155273438,
105
+ "learning_rate": 1.559210053859964e-05,
106
+ "loss": 2.3337,
107
+ "step": 7000
108
+ },
109
+ {
110
+ "epoch": 0.26121482307049315,
111
+ "grad_norm": 3.5916497707366943,
112
+ "learning_rate": 1.5233034111310595e-05,
113
+ "loss": 2.4419,
114
+ "step": 7500
115
+ },
116
+ {
117
+ "epoch": 0.27862914460852606,
118
+ "grad_norm": 8.653467178344727,
119
+ "learning_rate": 1.4873967684021545e-05,
120
+ "loss": 2.3755,
121
+ "step": 8000
122
+ },
123
+ {
124
+ "epoch": 0.2960434661465589,
125
+ "grad_norm": 6.519212245941162,
126
+ "learning_rate": 1.4514901256732496e-05,
127
+ "loss": 2.3601,
128
+ "step": 8500
129
+ },
130
+ {
131
+ "epoch": 0.3134577876845918,
132
+ "grad_norm": 8.016100883483887,
133
+ "learning_rate": 1.4155834829443448e-05,
134
+ "loss": 2.2321,
135
+ "step": 9000
136
+ },
137
+ {
138
+ "epoch": 0.33087210922262467,
139
+ "grad_norm": 16.313932418823242,
140
+ "learning_rate": 1.37967684021544e-05,
141
+ "loss": 2.3488,
142
+ "step": 9500
143
+ },
144
+ {
145
+ "epoch": 0.3482864307606576,
146
+ "grad_norm": 28.44437026977539,
147
+ "learning_rate": 1.3437701974865352e-05,
148
+ "loss": 2.3364,
149
+ "step": 10000
150
+ },
151
+ {
152
+ "epoch": 0.3657007522986904,
153
+ "grad_norm": 3.504075527191162,
154
+ "learning_rate": 1.3078635547576302e-05,
155
+ "loss": 2.2997,
156
+ "step": 10500
157
+ },
158
+ {
159
+ "epoch": 0.38311507383672333,
160
+ "grad_norm": 11.785683631896973,
161
+ "learning_rate": 1.2719569120287253e-05,
162
+ "loss": 2.3374,
163
+ "step": 11000
164
+ },
165
+ {
166
+ "epoch": 0.4005293953747562,
167
+ "grad_norm": 9.7432861328125,
168
+ "learning_rate": 1.2360502692998207e-05,
169
+ "loss": 2.266,
170
+ "step": 11500
171
+ },
172
+ {
173
+ "epoch": 0.4179437169127891,
174
+ "grad_norm": 8.663525581359863,
175
+ "learning_rate": 1.2001436265709157e-05,
176
+ "loss": 2.2722,
177
+ "step": 12000
178
+ },
179
+ {
180
+ "epoch": 0.43535803845082194,
181
+ "grad_norm": 8.145735740661621,
182
+ "learning_rate": 1.1642369838420109e-05,
183
+ "loss": 2.3819,
184
+ "step": 12500
185
+ },
186
+ {
187
+ "epoch": 0.45277235998885484,
188
+ "grad_norm": 6.875612258911133,
189
+ "learning_rate": 1.1283303411131059e-05,
190
+ "loss": 2.3541,
191
+ "step": 13000
192
+ },
193
+ {
194
+ "epoch": 0.4701866815268877,
195
+ "grad_norm": 4.973703861236572,
196
+ "learning_rate": 1.0924236983842012e-05,
197
+ "loss": 2.3205,
198
+ "step": 13500
199
+ },
200
+ {
201
+ "epoch": 0.4876010030649206,
202
+ "grad_norm": 8.985243797302246,
203
+ "learning_rate": 1.0565170556552964e-05,
204
+ "loss": 2.3118,
205
+ "step": 14000
206
+ },
207
+ {
208
+ "epoch": 0.5050153246029535,
209
+ "grad_norm": 3.0293591022491455,
210
+ "learning_rate": 1.0206104129263914e-05,
211
+ "loss": 2.2947,
212
+ "step": 14500
213
+ },
214
+ {
215
+ "epoch": 0.5224296461409863,
216
+ "grad_norm": 11.419426918029785,
217
+ "learning_rate": 9.847037701974866e-06,
218
+ "loss": 2.2276,
219
+ "step": 15000
220
+ },
221
+ {
222
+ "epoch": 0.5398439676790192,
223
+ "grad_norm": 9.195966720581055,
224
+ "learning_rate": 9.487971274685817e-06,
225
+ "loss": 2.333,
226
+ "step": 15500
227
+ },
228
+ {
229
+ "epoch": 0.5572582892170521,
230
+ "grad_norm": 7.067108631134033,
231
+ "learning_rate": 9.128904847396769e-06,
232
+ "loss": 2.3562,
233
+ "step": 16000
234
+ },
235
+ {
236
+ "epoch": 0.574672610755085,
237
+ "grad_norm": 5.443989276885986,
238
+ "learning_rate": 8.769838420107721e-06,
239
+ "loss": 2.3378,
240
+ "step": 16500
241
+ },
242
+ {
243
+ "epoch": 0.5920869322931178,
244
+ "grad_norm": 10.031864166259766,
245
+ "learning_rate": 8.410771992818673e-06,
246
+ "loss": 2.3233,
247
+ "step": 17000
248
+ },
249
+ {
250
+ "epoch": 0.6095012538311507,
251
+ "grad_norm": 7.518855094909668,
252
+ "learning_rate": 8.051705565529624e-06,
253
+ "loss": 2.2783,
254
+ "step": 17500
255
+ },
256
+ {
257
+ "epoch": 0.6269155753691836,
258
+ "grad_norm": 8.214040756225586,
259
+ "learning_rate": 7.692639138240574e-06,
260
+ "loss": 2.1764,
261
+ "step": 18000
262
+ },
263
+ {
264
+ "epoch": 0.6443298969072165,
265
+ "grad_norm": 10.006634712219238,
266
+ "learning_rate": 7.333572710951526e-06,
267
+ "loss": 2.3743,
268
+ "step": 18500
269
+ },
270
+ {
271
+ "epoch": 0.6617442184452493,
272
+ "grad_norm": 8.866910934448242,
273
+ "learning_rate": 6.974506283662478e-06,
274
+ "loss": 2.3044,
275
+ "step": 19000
276
+ },
277
+ {
278
+ "epoch": 0.6791585399832822,
279
+ "grad_norm": 5.549246311187744,
280
+ "learning_rate": 6.6154398563734305e-06,
281
+ "loss": 2.2693,
282
+ "step": 19500
283
+ },
284
+ {
285
+ "epoch": 0.6965728615213151,
286
+ "grad_norm": 4.0343194007873535,
287
+ "learning_rate": 6.2563734290843814e-06,
288
+ "loss": 2.1788,
289
+ "step": 20000
290
+ },
291
+ {
292
+ "epoch": 0.713987183059348,
293
+ "grad_norm": 6.325515270233154,
294
+ "learning_rate": 5.897307001795332e-06,
295
+ "loss": 2.2589,
296
+ "step": 20500
297
+ },
298
+ {
299
+ "epoch": 0.7314015045973808,
300
+ "grad_norm": 5.234256267547607,
301
+ "learning_rate": 5.538240574506284e-06,
302
+ "loss": 2.1563,
303
+ "step": 21000
304
+ },
305
+ {
306
+ "epoch": 0.7488158261354138,
307
+ "grad_norm": 8.443244934082031,
308
+ "learning_rate": 5.179174147217235e-06,
309
+ "loss": 2.2293,
310
+ "step": 21500
311
+ },
312
+ {
313
+ "epoch": 0.7662301476734467,
314
+ "grad_norm": 3.8823511600494385,
315
+ "learning_rate": 4.820107719928187e-06,
316
+ "loss": 2.2258,
317
+ "step": 22000
318
+ },
319
+ {
320
+ "epoch": 0.7836444692114796,
321
+ "grad_norm": 6.5127034187316895,
322
+ "learning_rate": 4.4610412926391385e-06,
323
+ "loss": 2.1272,
324
+ "step": 22500
325
+ },
326
+ {
327
+ "epoch": 0.8010587907495124,
328
+ "grad_norm": 12.666552543640137,
329
+ "learning_rate": 4.10197486535009e-06,
330
+ "loss": 2.264,
331
+ "step": 23000
332
+ },
333
+ {
334
+ "epoch": 0.8184731122875453,
335
+ "grad_norm": 5.594479084014893,
336
+ "learning_rate": 3.7429084380610415e-06,
337
+ "loss": 2.2525,
338
+ "step": 23500
339
+ },
340
+ {
341
+ "epoch": 0.8358874338255782,
342
+ "grad_norm": 5.7376179695129395,
343
+ "learning_rate": 3.3838420107719933e-06,
344
+ "loss": 2.3071,
345
+ "step": 24000
346
+ },
347
+ {
348
+ "epoch": 0.8533017553636111,
349
+ "grad_norm": 12.593650817871094,
350
+ "learning_rate": 3.0247755834829446e-06,
351
+ "loss": 2.2623,
352
+ "step": 24500
353
+ },
354
+ {
355
+ "epoch": 0.8707160769016439,
356
+ "grad_norm": 10.175933837890625,
357
+ "learning_rate": 2.6657091561938963e-06,
358
+ "loss": 2.2561,
359
+ "step": 25000
360
+ },
361
+ {
362
+ "epoch": 0.8881303984396768,
363
+ "grad_norm": 11.089727401733398,
364
+ "learning_rate": 2.3066427289048477e-06,
365
+ "loss": 2.2185,
366
+ "step": 25500
367
+ },
368
+ {
369
+ "epoch": 0.9055447199777097,
370
+ "grad_norm": 7.090406894683838,
371
+ "learning_rate": 1.947576301615799e-06,
372
+ "loss": 2.204,
373
+ "step": 26000
374
+ },
375
+ {
376
+ "epoch": 0.9229590415157426,
377
+ "grad_norm": 16.22230339050293,
378
+ "learning_rate": 1.5885098743267505e-06,
379
+ "loss": 2.2285,
380
+ "step": 26500
381
+ },
382
+ {
383
+ "epoch": 0.9403733630537754,
384
+ "grad_norm": 4.419189929962158,
385
+ "learning_rate": 1.229443447037702e-06,
386
+ "loss": 2.2739,
387
+ "step": 27000
388
+ },
389
+ {
390
+ "epoch": 0.9577876845918083,
391
+ "grad_norm": 12.452730178833008,
392
+ "learning_rate": 8.703770197486536e-07,
393
+ "loss": 2.1793,
394
+ "step": 27500
395
+ },
396
+ {
397
+ "epoch": 0.9752020061298412,
398
+ "grad_norm": 19.379770278930664,
399
+ "learning_rate": 5.11310592459605e-07,
400
+ "loss": 2.1586,
401
+ "step": 28000
402
+ },
403
+ {
404
+ "epoch": 0.9926163276678741,
405
+ "grad_norm": 19.553585052490234,
406
+ "learning_rate": 1.5224416517055656e-07,
407
+ "loss": 2.1482,
408
+ "step": 28500
409
+ },
410
+ {
411
+ "epoch": 1.0,
412
+ "step": 28712,
413
+ "total_flos": 0.0,
414
+ "train_loss": 2.343143721416024,
415
+ "train_runtime": 98844.7919,
416
+ "train_samples_per_second": 0.581,
417
+ "train_steps_per_second": 0.29
418
+ }
419
+ ],
420
+ "logging_steps": 500,
421
+ "max_steps": 28712,
422
+ "num_input_tokens_seen": 0,
423
+ "num_train_epochs": 1,
424
+ "save_steps": 500.0,
425
+ "stateful_callbacks": {
426
+ "TrainerControl": {
427
+ "args": {
428
+ "should_epoch_stop": false,
429
+ "should_evaluate": false,
430
+ "should_log": false,
431
+ "should_save": false,
432
+ "should_training_stop": false
433
+ },
434
+ "attributes": {}
435
+ }
436
+ },
437
+ "total_flos": 0.0,
438
+ "train_batch_size": 2,
439
+ "trial_name": null,
440
+ "trial_params": null
441
+ }