asier-gutierrez
commited on
Commit
•
b2fcc0d
1
Parent(s):
0c4c063
Model
Browse files- config.json +34 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tb/events.out.tfevents.1688906412.asier-pc.14041.0 +3 -0
- test_results.json +10 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- trainer_state.json +195 -0
- valid_results.json +10 -0
- vocab.txt +0 -0
config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "ixa-ehu/berteus-base-cased",
|
3 |
+
"architectures": [
|
4 |
+
"BertForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"finetuning_task": "stsb",
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "LABEL_0"
|
14 |
+
},
|
15 |
+
"initializer_range": 0.02,
|
16 |
+
"intermediate_size": 3072,
|
17 |
+
"label2id": {
|
18 |
+
"LABEL_0": 0
|
19 |
+
},
|
20 |
+
"layer_norm_eps": 1e-12,
|
21 |
+
"max_position_embeddings": 512,
|
22 |
+
"model_type": "bert",
|
23 |
+
"num_attention_heads": 12,
|
24 |
+
"num_hidden_layers": 12,
|
25 |
+
"output_past": true,
|
26 |
+
"pad_token_id": 3,
|
27 |
+
"position_embedding_type": "absolute",
|
28 |
+
"problem_type": "regression",
|
29 |
+
"torch_dtype": "float32",
|
30 |
+
"transformers_version": "4.30.1",
|
31 |
+
"type_vocab_size": 2,
|
32 |
+
"use_cache": true,
|
33 |
+
"vocab_size": 50099
|
34 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3c5c752db733fff267d87c1ac388efa0678ad2a65bd93654551864a43890e2ae
|
3 |
+
size 498145397
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
6 |
+
"unk_token": "[UNK]"
|
7 |
+
}
|
tb/events.out.tfevents.1688906412.asier-pc.14041.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b649312dcc1398ebe935318af31177e4e24e574fa08a19b47982fae4b8d1109d
|
3 |
+
size 10334
|
test_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"eval_combined_score": 0.9103811678023414,
|
3 |
+
"eval_loss": 0.34662991762161255,
|
4 |
+
"eval_pearson": 0.9178814188008078,
|
5 |
+
"eval_runtime": 10.2029,
|
6 |
+
"eval_samples_per_second": 85.466,
|
7 |
+
"eval_spearmanr": 0.9028809168038749,
|
8 |
+
"eval_steps_per_second": 10.683,
|
9 |
+
"test_samples_stsb": 872
|
10 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"clean_up_tokenization_spaces": true,
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"do_basic_tokenize": true,
|
5 |
+
"do_lower_case": false,
|
6 |
+
"mask_token": "[MASK]",
|
7 |
+
"model_max_length": 1000000000000000019884624838656,
|
8 |
+
"never_split": null,
|
9 |
+
"pad_token": "[PAD]",
|
10 |
+
"sep_token": "[SEP]",
|
11 |
+
"strip_accents": null,
|
12 |
+
"tokenize_chinese_chars": true,
|
13 |
+
"tokenizer_class": "BertTokenizer",
|
14 |
+
"unk_token": "[UNK]"
|
15 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9135991932046025,
|
3 |
+
"best_model_checkpoint": "../models/eusts/checkpoint-2180",
|
4 |
+
"epoch": 10.0,
|
5 |
+
"global_step": 2180,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 1.0,
|
12 |
+
"learning_rate": 2.8726207906295755e-05,
|
13 |
+
"loss": 1.4053,
|
14 |
+
"step": 218
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_combined_score": 0.8498445305588846,
|
19 |
+
"eval_loss": 0.5913795232772827,
|
20 |
+
"eval_pearson": 0.8576485507627736,
|
21 |
+
"eval_runtime": 10.4654,
|
22 |
+
"eval_samples_per_second": 83.227,
|
23 |
+
"eval_spearmanr": 0.8420405103549957,
|
24 |
+
"eval_steps_per_second": 10.415,
|
25 |
+
"step": 218
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 2.0,
|
29 |
+
"learning_rate": 2.553440702781845e-05,
|
30 |
+
"loss": 0.3881,
|
31 |
+
"step": 436
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 2.0,
|
35 |
+
"eval_combined_score": 0.887035736675172,
|
36 |
+
"eval_loss": 0.447421669960022,
|
37 |
+
"eval_pearson": 0.8917341241804541,
|
38 |
+
"eval_runtime": 10.5067,
|
39 |
+
"eval_samples_per_second": 82.899,
|
40 |
+
"eval_spearmanr": 0.8823373491698899,
|
41 |
+
"eval_steps_per_second": 10.374,
|
42 |
+
"step": 436
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 3.0,
|
46 |
+
"learning_rate": 2.2342606149341143e-05,
|
47 |
+
"loss": 0.2083,
|
48 |
+
"step": 654
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 3.0,
|
52 |
+
"eval_combined_score": 0.8970108216951012,
|
53 |
+
"eval_loss": 0.4096603989601135,
|
54 |
+
"eval_pearson": 0.9016467997316473,
|
55 |
+
"eval_runtime": 10.4817,
|
56 |
+
"eval_samples_per_second": 83.097,
|
57 |
+
"eval_spearmanr": 0.8923748436585551,
|
58 |
+
"eval_steps_per_second": 10.399,
|
59 |
+
"step": 654
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 4.0,
|
63 |
+
"learning_rate": 1.9150805270863837e-05,
|
64 |
+
"loss": 0.1393,
|
65 |
+
"step": 872
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 4.0,
|
69 |
+
"eval_combined_score": 0.9009673665742599,
|
70 |
+
"eval_loss": 0.3968064486980438,
|
71 |
+
"eval_pearson": 0.9046095606853766,
|
72 |
+
"eval_runtime": 10.448,
|
73 |
+
"eval_samples_per_second": 83.366,
|
74 |
+
"eval_spearmanr": 0.8973251724631434,
|
75 |
+
"eval_steps_per_second": 10.433,
|
76 |
+
"step": 872
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 5.0,
|
80 |
+
"learning_rate": 1.595900439238653e-05,
|
81 |
+
"loss": 0.1023,
|
82 |
+
"step": 1090
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 5.0,
|
86 |
+
"eval_combined_score": 0.906389648678596,
|
87 |
+
"eval_loss": 0.38093939423561096,
|
88 |
+
"eval_pearson": 0.9095917410726173,
|
89 |
+
"eval_runtime": 10.7338,
|
90 |
+
"eval_samples_per_second": 81.146,
|
91 |
+
"eval_spearmanr": 0.9031875562845746,
|
92 |
+
"eval_steps_per_second": 10.155,
|
93 |
+
"step": 1090
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 6.0,
|
97 |
+
"learning_rate": 1.2767203513909225e-05,
|
98 |
+
"loss": 0.0841,
|
99 |
+
"step": 1308
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 6.0,
|
103 |
+
"eval_combined_score": 0.9098955778506463,
|
104 |
+
"eval_loss": 0.37849491834640503,
|
105 |
+
"eval_pearson": 0.9139073667065271,
|
106 |
+
"eval_runtime": 10.6077,
|
107 |
+
"eval_samples_per_second": 82.11,
|
108 |
+
"eval_spearmanr": 0.9058837889947655,
|
109 |
+
"eval_steps_per_second": 10.276,
|
110 |
+
"step": 1308
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 7.0,
|
114 |
+
"learning_rate": 9.575402635431918e-06,
|
115 |
+
"loss": 0.0664,
|
116 |
+
"step": 1526
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 7.0,
|
120 |
+
"eval_combined_score": 0.9111955743924036,
|
121 |
+
"eval_loss": 0.35929641127586365,
|
122 |
+
"eval_pearson": 0.9148956072886006,
|
123 |
+
"eval_runtime": 10.7134,
|
124 |
+
"eval_samples_per_second": 81.3,
|
125 |
+
"eval_spearmanr": 0.9074955414962067,
|
126 |
+
"eval_steps_per_second": 10.174,
|
127 |
+
"step": 1526
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 8.0,
|
131 |
+
"learning_rate": 6.383601756954612e-06,
|
132 |
+
"loss": 0.057,
|
133 |
+
"step": 1744
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 8.0,
|
137 |
+
"eval_combined_score": 0.9122781067251765,
|
138 |
+
"eval_loss": 0.3573194146156311,
|
139 |
+
"eval_pearson": 0.9160432969800479,
|
140 |
+
"eval_runtime": 10.694,
|
141 |
+
"eval_samples_per_second": 81.448,
|
142 |
+
"eval_spearmanr": 0.9085129164703051,
|
143 |
+
"eval_steps_per_second": 10.193,
|
144 |
+
"step": 1744
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 9.0,
|
148 |
+
"learning_rate": 3.191800878477306e-06,
|
149 |
+
"loss": 0.0485,
|
150 |
+
"step": 1962
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 9.0,
|
154 |
+
"eval_combined_score": 0.9128873266818468,
|
155 |
+
"eval_loss": 0.3531445860862732,
|
156 |
+
"eval_pearson": 0.9165594039106797,
|
157 |
+
"eval_runtime": 10.7576,
|
158 |
+
"eval_samples_per_second": 80.966,
|
159 |
+
"eval_spearmanr": 0.9092152494530139,
|
160 |
+
"eval_steps_per_second": 10.132,
|
161 |
+
"step": 1962
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 10.0,
|
165 |
+
"learning_rate": 0.0,
|
166 |
+
"loss": 0.0449,
|
167 |
+
"step": 2180
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 10.0,
|
171 |
+
"eval_combined_score": 0.9135991932046025,
|
172 |
+
"eval_loss": 0.3487534821033478,
|
173 |
+
"eval_pearson": 0.917271052630473,
|
174 |
+
"eval_runtime": 10.8295,
|
175 |
+
"eval_samples_per_second": 80.428,
|
176 |
+
"eval_spearmanr": 0.9099273337787319,
|
177 |
+
"eval_steps_per_second": 10.065,
|
178 |
+
"step": 2180
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 10.0,
|
182 |
+
"step": 2180,
|
183 |
+
"total_flos": 1.834393807540224e+16,
|
184 |
+
"train_loss": 0.2544048738042149,
|
185 |
+
"train_runtime": 2592.0512,
|
186 |
+
"train_samples_per_second": 26.898,
|
187 |
+
"train_steps_per_second": 0.841
|
188 |
+
}
|
189 |
+
],
|
190 |
+
"max_steps": 2180,
|
191 |
+
"num_train_epochs": 10,
|
192 |
+
"total_flos": 1.834393807540224e+16,
|
193 |
+
"trial_name": null,
|
194 |
+
"trial_params": null
|
195 |
+
}
|
valid_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"eval_combined_score": 0.9135991932046025,
|
3 |
+
"eval_loss": 0.3487534821033478,
|
4 |
+
"eval_pearson": 0.917271052630473,
|
5 |
+
"eval_runtime": 10.5874,
|
6 |
+
"eval_samples": 871,
|
7 |
+
"eval_samples_per_second": 82.268,
|
8 |
+
"eval_spearmanr": 0.9099273337787319,
|
9 |
+
"eval_steps_per_second": 10.295
|
10 |
+
}
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|