josecannete
commited on
Commit
•
bfd5f4c
1
Parent(s):
59da72d
adding model finetuned on POS
Browse files- all_results.json +17 -0
- config.json +75 -0
- eval_results.json +12 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +271 -0
- training_args.bin +3 -0
all_results.json
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"eval_accuracy": 0.9839718066450924,
|
4 |
+
"eval_f1": 0.9833950734391069,
|
5 |
+
"eval_loss": 0.05716780200600624,
|
6 |
+
"eval_precision": 0.9829141716566866,
|
7 |
+
"eval_recall": 0.9838764460250544,
|
8 |
+
"eval_runtime": 11.7694,
|
9 |
+
"eval_samples": 1654,
|
10 |
+
"eval_samples_per_second": 140.534,
|
11 |
+
"eval_steps_per_second": 8.836,
|
12 |
+
"train_loss": 0.05827242064409416,
|
13 |
+
"train_runtime": 5244.9021,
|
14 |
+
"train_samples": 14305,
|
15 |
+
"train_samples_per_second": 10.91,
|
16 |
+
"train_steps_per_second": 0.683
|
17 |
+
}
|
config.json
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "CenIA/albert_xxlarge_spanish",
|
3 |
+
"architectures": [
|
4 |
+
"AlbertForTokenClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0,
|
7 |
+
"bos_token_id": 2,
|
8 |
+
"classifier_dropout_prob": 0.1,
|
9 |
+
"down_scale_factor": 1,
|
10 |
+
"embedding_size": 128,
|
11 |
+
"eos_token_id": 3,
|
12 |
+
"finetuning_task": "pos",
|
13 |
+
"gap_size": 0,
|
14 |
+
"hidden_act": "gelu",
|
15 |
+
"hidden_dropout_prob": 0,
|
16 |
+
"hidden_size": 4096,
|
17 |
+
"id2label": {
|
18 |
+
"0": "LABEL_0",
|
19 |
+
"1": "LABEL_1",
|
20 |
+
"2": "LABEL_2",
|
21 |
+
"3": "LABEL_3",
|
22 |
+
"4": "LABEL_4",
|
23 |
+
"5": "LABEL_5",
|
24 |
+
"6": "LABEL_6",
|
25 |
+
"7": "LABEL_7",
|
26 |
+
"8": "LABEL_8",
|
27 |
+
"9": "LABEL_9",
|
28 |
+
"10": "LABEL_10",
|
29 |
+
"11": "LABEL_11",
|
30 |
+
"12": "LABEL_12",
|
31 |
+
"13": "LABEL_13",
|
32 |
+
"14": "LABEL_14",
|
33 |
+
"15": "LABEL_15",
|
34 |
+
"16": "LABEL_16",
|
35 |
+
"17": "LABEL_17"
|
36 |
+
},
|
37 |
+
"initializer_range": 0.01,
|
38 |
+
"inner_group_num": 1,
|
39 |
+
"intermediate_size": 16384,
|
40 |
+
"label2id": {
|
41 |
+
"LABEL_0": 0,
|
42 |
+
"LABEL_1": 1,
|
43 |
+
"LABEL_10": 10,
|
44 |
+
"LABEL_11": 11,
|
45 |
+
"LABEL_12": 12,
|
46 |
+
"LABEL_13": 13,
|
47 |
+
"LABEL_14": 14,
|
48 |
+
"LABEL_15": 15,
|
49 |
+
"LABEL_16": 16,
|
50 |
+
"LABEL_17": 17,
|
51 |
+
"LABEL_2": 2,
|
52 |
+
"LABEL_3": 3,
|
53 |
+
"LABEL_4": 4,
|
54 |
+
"LABEL_5": 5,
|
55 |
+
"LABEL_6": 6,
|
56 |
+
"LABEL_7": 7,
|
57 |
+
"LABEL_8": 8,
|
58 |
+
"LABEL_9": 9
|
59 |
+
},
|
60 |
+
"layer_norm_eps": 1e-12,
|
61 |
+
"layers_to_keep": [],
|
62 |
+
"max_position_embeddings": 512,
|
63 |
+
"model_type": "albert",
|
64 |
+
"net_structure_type": 0,
|
65 |
+
"num_attention_heads": 64,
|
66 |
+
"num_hidden_groups": 1,
|
67 |
+
"num_hidden_layers": 12,
|
68 |
+
"num_memory_blocks": 0,
|
69 |
+
"pad_token_id": 0,
|
70 |
+
"position_embedding_type": "absolute",
|
71 |
+
"torch_dtype": "float32",
|
72 |
+
"transformers_version": "4.12.5",
|
73 |
+
"type_vocab_size": 2,
|
74 |
+
"vocab_size": 31000
|
75 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"eval_accuracy": 0.9839718066450924,
|
4 |
+
"eval_f1": 0.9833950734391069,
|
5 |
+
"eval_loss": 0.05716780200600624,
|
6 |
+
"eval_precision": 0.9829141716566866,
|
7 |
+
"eval_recall": 0.9838764460250544,
|
8 |
+
"eval_runtime": 11.7694,
|
9 |
+
"eval_samples": 1654,
|
10 |
+
"eval_samples_per_second": 140.534,
|
11 |
+
"eval_steps_per_second": 8.836
|
12 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:24bd05067ad36d961a0f3b5fe3dd2342446c843c5924ae870591f8989e41e56c
|
3 |
+
size 824078295
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": "[MASK]"}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"do_lower_case": true, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "CenIA/albert_xxlarge_spanish", "tokenizer_class": "AlbertTokenizer"}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"train_loss": 0.05827242064409416,
|
4 |
+
"train_runtime": 5244.9021,
|
5 |
+
"train_samples": 14305,
|
6 |
+
"train_samples_per_second": 10.91,
|
7 |
+
"train_steps_per_second": 0.683
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,271 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.05716780200600624,
|
3 |
+
"best_model_checkpoint": "/data/jcanete/all_results/pos/albeto_xxlarge/epochs_4_bs_16_lr_5e-6/checkpoint-1800",
|
4 |
+
"epoch": 4.0,
|
5 |
+
"global_step": 3580,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.22,
|
12 |
+
"eval_accuracy": 0.9740770234323376,
|
13 |
+
"eval_f1": 0.9703136222169021,
|
14 |
+
"eval_loss": 0.09671590477228165,
|
15 |
+
"eval_precision": 0.9689025240552224,
|
16 |
+
"eval_recall": 0.9717288365866816,
|
17 |
+
"eval_runtime": 12.1146,
|
18 |
+
"eval_samples_per_second": 136.529,
|
19 |
+
"eval_steps_per_second": 8.585,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.45,
|
24 |
+
"eval_accuracy": 0.978109486453974,
|
25 |
+
"eval_f1": 0.9763370891925068,
|
26 |
+
"eval_loss": 0.08312373608350754,
|
27 |
+
"eval_precision": 0.9753928372018824,
|
28 |
+
"eval_recall": 0.9772831711654113,
|
29 |
+
"eval_runtime": 12.0635,
|
30 |
+
"eval_samples_per_second": 137.107,
|
31 |
+
"eval_steps_per_second": 8.621,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.56,
|
36 |
+
"learning_rate": 4.305865921787709e-06,
|
37 |
+
"loss": 0.2346,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.67,
|
42 |
+
"eval_accuracy": 0.9802951491841887,
|
43 |
+
"eval_f1": 0.9781281181400918,
|
44 |
+
"eval_loss": 0.06705235689878464,
|
45 |
+
"eval_precision": 0.9769778149853495,
|
46 |
+
"eval_recall": 0.979281133244091,
|
47 |
+
"eval_runtime": 12.0607,
|
48 |
+
"eval_samples_per_second": 137.14,
|
49 |
+
"eval_steps_per_second": 8.623,
|
50 |
+
"step": 600
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.89,
|
54 |
+
"eval_accuracy": 0.9816167126954812,
|
55 |
+
"eval_f1": 0.980212056468521,
|
56 |
+
"eval_loss": 0.06424280256032944,
|
57 |
+
"eval_precision": 0.9796252319849933,
|
58 |
+
"eval_recall": 0.9807995844238876,
|
59 |
+
"eval_runtime": 12.0651,
|
60 |
+
"eval_samples_per_second": 137.09,
|
61 |
+
"eval_steps_per_second": 8.62,
|
62 |
+
"step": 800
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 1.12,
|
66 |
+
"learning_rate": 3.607541899441341e-06,
|
67 |
+
"loss": 0.0581,
|
68 |
+
"step": 1000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 1.12,
|
72 |
+
"eval_accuracy": 0.9821419494756104,
|
73 |
+
"eval_f1": 0.9813241767565355,
|
74 |
+
"eval_loss": 0.06397537887096405,
|
75 |
+
"eval_precision": 0.9805313971116253,
|
76 |
+
"eval_recall": 0.9821182393958162,
|
77 |
+
"eval_runtime": 12.0587,
|
78 |
+
"eval_samples_per_second": 137.163,
|
79 |
+
"eval_steps_per_second": 8.624,
|
80 |
+
"step": 1000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.34,
|
84 |
+
"eval_accuracy": 0.982734958743498,
|
85 |
+
"eval_f1": 0.9817945902784708,
|
86 |
+
"eval_loss": 0.06401154398918152,
|
87 |
+
"eval_precision": 0.9809330062426455,
|
88 |
+
"eval_recall": 0.9826576891570598,
|
89 |
+
"eval_runtime": 12.05,
|
90 |
+
"eval_samples_per_second": 137.262,
|
91 |
+
"eval_steps_per_second": 8.631,
|
92 |
+
"step": 1200
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.56,
|
96 |
+
"eval_accuracy": 0.9834635129869029,
|
97 |
+
"eval_f1": 0.982266245955985,
|
98 |
+
"eval_loss": 0.05947747826576233,
|
99 |
+
"eval_precision": 0.9818152783599816,
|
100 |
+
"eval_recall": 0.9827176280194202,
|
101 |
+
"eval_runtime": 12.0881,
|
102 |
+
"eval_samples_per_second": 136.829,
|
103 |
+
"eval_steps_per_second": 8.604,
|
104 |
+
"step": 1400
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 1.68,
|
108 |
+
"learning_rate": 2.9092178770949727e-06,
|
109 |
+
"loss": 0.04,
|
110 |
+
"step": 1500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1.79,
|
114 |
+
"eval_accuracy": 0.9830229918164721,
|
115 |
+
"eval_f1": 0.982217698479224,
|
116 |
+
"eval_loss": 0.05940423533320427,
|
117 |
+
"eval_precision": 0.9811407268595124,
|
118 |
+
"eval_recall": 0.9832970370222374,
|
119 |
+
"eval_runtime": 12.0517,
|
120 |
+
"eval_samples_per_second": 137.242,
|
121 |
+
"eval_steps_per_second": 8.629,
|
122 |
+
"step": 1600
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 2.01,
|
126 |
+
"eval_accuracy": 0.9839718066450924,
|
127 |
+
"eval_f1": 0.9833950734391069,
|
128 |
+
"eval_loss": 0.05716780200600624,
|
129 |
+
"eval_precision": 0.9829141716566866,
|
130 |
+
"eval_recall": 0.9838764460250544,
|
131 |
+
"eval_runtime": 12.0638,
|
132 |
+
"eval_samples_per_second": 137.105,
|
133 |
+
"eval_steps_per_second": 8.621,
|
134 |
+
"step": 1800
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 2.23,
|
138 |
+
"learning_rate": 2.2108938547486037e-06,
|
139 |
+
"loss": 0.0327,
|
140 |
+
"step": 2000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 2.23,
|
144 |
+
"eval_accuracy": 0.983700716694058,
|
145 |
+
"eval_f1": 0.9826579207475964,
|
146 |
+
"eval_loss": 0.06271136552095413,
|
147 |
+
"eval_precision": 0.9820794252644183,
|
148 |
+
"eval_recall": 0.9832370981598769,
|
149 |
+
"eval_runtime": 12.0524,
|
150 |
+
"eval_samples_per_second": 137.234,
|
151 |
+
"eval_steps_per_second": 8.629,
|
152 |
+
"step": 2000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 2.46,
|
156 |
+
"eval_accuracy": 0.9840734653767303,
|
157 |
+
"eval_f1": 0.9836376523674989,
|
158 |
+
"eval_loss": 0.06178496032953262,
|
159 |
+
"eval_precision": 0.982980166806337,
|
160 |
+
"eval_recall": 0.9842960180615772,
|
161 |
+
"eval_runtime": 12.0504,
|
162 |
+
"eval_samples_per_second": 137.257,
|
163 |
+
"eval_steps_per_second": 8.63,
|
164 |
+
"step": 2200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.68,
|
168 |
+
"eval_accuracy": 0.9839887497670321,
|
169 |
+
"eval_f1": 0.983732286767129,
|
170 |
+
"eval_loss": 0.0652877539396286,
|
171 |
+
"eval_precision": 0.9833885716567504,
|
172 |
+
"eval_recall": 0.9840762422329224,
|
173 |
+
"eval_runtime": 12.0582,
|
174 |
+
"eval_samples_per_second": 137.168,
|
175 |
+
"eval_steps_per_second": 8.625,
|
176 |
+
"step": 2400
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 2.79,
|
180 |
+
"learning_rate": 1.5125698324022347e-06,
|
181 |
+
"loss": 0.022,
|
182 |
+
"step": 2500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.91,
|
186 |
+
"eval_accuracy": 0.9843445553277647,
|
187 |
+
"eval_f1": 0.9838023527532006,
|
188 |
+
"eval_loss": 0.061138641089200974,
|
189 |
+
"eval_precision": 0.9834487990895842,
|
190 |
+
"eval_recall": 0.9841561607160696,
|
191 |
+
"eval_runtime": 12.0686,
|
192 |
+
"eval_samples_per_second": 137.05,
|
193 |
+
"eval_steps_per_second": 8.617,
|
194 |
+
"step": 2600
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 3.13,
|
198 |
+
"eval_accuracy": 0.984378441571644,
|
199 |
+
"eval_f1": 0.9841013042523019,
|
200 |
+
"eval_loss": 0.06497478485107422,
|
201 |
+
"eval_precision": 0.9837869137232195,
|
202 |
+
"eval_recall": 0.984415895786298,
|
203 |
+
"eval_runtime": 12.0336,
|
204 |
+
"eval_samples_per_second": 137.449,
|
205 |
+
"eval_steps_per_second": 8.642,
|
206 |
+
"step": 2800
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 3.35,
|
210 |
+
"learning_rate": 8.142458100558661e-07,
|
211 |
+
"loss": 0.0161,
|
212 |
+
"step": 3000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 3.35,
|
216 |
+
"eval_accuracy": 0.9844631571813423,
|
217 |
+
"eval_f1": 0.9838933546357782,
|
218 |
+
"eval_loss": 0.06659159064292908,
|
219 |
+
"eval_precision": 0.9834710743801653,
|
220 |
+
"eval_recall": 0.984315997682364,
|
221 |
+
"eval_runtime": 12.058,
|
222 |
+
"eval_samples_per_second": 137.17,
|
223 |
+
"eval_steps_per_second": 8.625,
|
224 |
+
"step": 3000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 3.58,
|
228 |
+
"eval_accuracy": 0.9840056928889718,
|
229 |
+
"eval_f1": 0.983372447196285,
|
230 |
+
"eval_loss": 0.06790520250797272,
|
231 |
+
"eval_precision": 0.9830484785560258,
|
232 |
+
"eval_recall": 0.9836966294379733,
|
233 |
+
"eval_runtime": 12.0261,
|
234 |
+
"eval_samples_per_second": 137.534,
|
235 |
+
"eval_steps_per_second": 8.648,
|
236 |
+
"step": 3200
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 3.8,
|
240 |
+
"eval_accuracy": 0.9842767828400061,
|
241 |
+
"eval_f1": 0.9837931757586651,
|
242 |
+
"eval_loss": 0.06859102845191956,
|
243 |
+
"eval_precision": 0.9833905613670846,
|
244 |
+
"eval_recall": 0.9841961199576432,
|
245 |
+
"eval_runtime": 12.0273,
|
246 |
+
"eval_samples_per_second": 137.521,
|
247 |
+
"eval_steps_per_second": 8.647,
|
248 |
+
"step": 3400
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 3.91,
|
252 |
+
"learning_rate": 1.1592178770949721e-07,
|
253 |
+
"loss": 0.012,
|
254 |
+
"step": 3500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 4.0,
|
258 |
+
"step": 3580,
|
259 |
+
"total_flos": 5364557434522752.0,
|
260 |
+
"train_loss": 0.05827242064409416,
|
261 |
+
"train_runtime": 5244.9021,
|
262 |
+
"train_samples_per_second": 10.91,
|
263 |
+
"train_steps_per_second": 0.683
|
264 |
+
}
|
265 |
+
],
|
266 |
+
"max_steps": 3580,
|
267 |
+
"num_train_epochs": 4,
|
268 |
+
"total_flos": 5364557434522752.0,
|
269 |
+
"trial_name": null,
|
270 |
+
"trial_params": null
|
271 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:211fc83f4ac4107250cd13c933f937281918a6fa555449d8858952b06da464f0
|
3 |
+
size 2863
|