EhsanAghazadeh
commited on
Commit
•
74bf5db
1
Parent(s):
62a69db
Add model and its dependencies
Browse files- all_results.json +16 -0
- config.json +29 -0
- eval_results.json +11 -0
- merges.txt +0 -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 +195 -0
- training_args.bin +3 -0
- vocab.json +0 -0
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.8970588235294118,
|
4 |
+
"eval_combined_score": 0.9106232745805904,
|
5 |
+
"eval_f1": 0.924187725631769,
|
6 |
+
"eval_loss": 0.3507114052772522,
|
7 |
+
"eval_runtime": 1.101,
|
8 |
+
"eval_samples": 408,
|
9 |
+
"eval_samples_per_second": 370.585,
|
10 |
+
"eval_steps_per_second": 46.323,
|
11 |
+
"train_loss": 0.20570029414218405,
|
12 |
+
"train_runtime": 332.3723,
|
13 |
+
"train_samples": 3668,
|
14 |
+
"train_samples_per_second": 110.358,
|
15 |
+
"train_steps_per_second": 3.46
|
16 |
+
}
|
config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "roberta-base",
|
3 |
+
"architectures": [
|
4 |
+
"RobertaForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"finetuning_task": "mrpc",
|
10 |
+
"gradient_checkpointing": false,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_dropout_prob": 0.1,
|
13 |
+
"hidden_size": 768,
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 3072,
|
16 |
+
"layer_norm_eps": 1e-05,
|
17 |
+
"max_position_embeddings": 514,
|
18 |
+
"model_type": "roberta",
|
19 |
+
"num_attention_heads": 12,
|
20 |
+
"num_hidden_layers": 12,
|
21 |
+
"pad_token_id": 1,
|
22 |
+
"position_embedding_type": "absolute",
|
23 |
+
"problem_type": "single_label_classification",
|
24 |
+
"torch_dtype": "float32",
|
25 |
+
"transformers_version": "4.9.2",
|
26 |
+
"type_vocab_size": 1,
|
27 |
+
"use_cache": true,
|
28 |
+
"vocab_size": 50265
|
29 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.8970588235294118,
|
4 |
+
"eval_combined_score": 0.9106232745805904,
|
5 |
+
"eval_f1": 0.924187725631769,
|
6 |
+
"eval_loss": 0.3507114052772522,
|
7 |
+
"eval_runtime": 1.101,
|
8 |
+
"eval_samples": 408,
|
9 |
+
"eval_samples_per_second": 370.585,
|
10 |
+
"eval_steps_per_second": 46.323
|
11 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1b73d460b691552cfa8560b867ad4f3b3da03661070fb89ccb622d0101709c89
|
3 |
+
size 498674093
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "roberta-base", "tokenizer_class": "RobertaTokenizer"}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"train_loss": 0.20570029414218405,
|
4 |
+
"train_runtime": 332.3723,
|
5 |
+
"train_samples": 3668,
|
6 |
+
"train_samples_per_second": 110.358,
|
7 |
+
"train_steps_per_second": 3.46
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8970588235294118,
|
3 |
+
"best_model_checkpoint": "./bert-base-uncased/fine_tuned_models/checkpoint-575",
|
4 |
+
"epoch": 10.0,
|
5 |
+
"global_step": 1150,
|
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": 1e-05,
|
13 |
+
"loss": 0.6336,
|
14 |
+
"step": 115
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_accuracy": 0.6838235294117647,
|
19 |
+
"eval_combined_score": 0.7480253018237863,
|
20 |
+
"eval_f1": 0.8122270742358079,
|
21 |
+
"eval_loss": 0.538364589214325,
|
22 |
+
"eval_runtime": 1.089,
|
23 |
+
"eval_samples_per_second": 374.663,
|
24 |
+
"eval_steps_per_second": 46.833,
|
25 |
+
"step": 115
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 2.0,
|
29 |
+
"learning_rate": 2e-05,
|
30 |
+
"loss": 0.482,
|
31 |
+
"step": 230
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 2.0,
|
35 |
+
"eval_accuracy": 0.8357843137254902,
|
36 |
+
"eval_combined_score": 0.8625202560362988,
|
37 |
+
"eval_f1": 0.8892561983471075,
|
38 |
+
"eval_loss": 0.40759965777397156,
|
39 |
+
"eval_runtime": 1.0806,
|
40 |
+
"eval_samples_per_second": 377.572,
|
41 |
+
"eval_steps_per_second": 47.196,
|
42 |
+
"step": 230
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 3.0,
|
46 |
+
"learning_rate": 1.7500000000000002e-05,
|
47 |
+
"loss": 0.3576,
|
48 |
+
"step": 345
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 3.0,
|
52 |
+
"eval_accuracy": 0.875,
|
53 |
+
"eval_combined_score": 0.8912205081669691,
|
54 |
+
"eval_f1": 0.9074410163339381,
|
55 |
+
"eval_loss": 0.2955787181854248,
|
56 |
+
"eval_runtime": 1.0806,
|
57 |
+
"eval_samples_per_second": 377.557,
|
58 |
+
"eval_steps_per_second": 47.195,
|
59 |
+
"step": 345
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 4.0,
|
63 |
+
"learning_rate": 1.5000000000000002e-05,
|
64 |
+
"loss": 0.2205,
|
65 |
+
"step": 460
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 4.0,
|
69 |
+
"eval_accuracy": 0.8921568627450981,
|
70 |
+
"eval_combined_score": 0.9076168929110106,
|
71 |
+
"eval_f1": 0.923076923076923,
|
72 |
+
"eval_loss": 0.3020019829273224,
|
73 |
+
"eval_runtime": 1.0822,
|
74 |
+
"eval_samples_per_second": 376.994,
|
75 |
+
"eval_steps_per_second": 47.124,
|
76 |
+
"step": 460
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 5.0,
|
80 |
+
"learning_rate": 1.25e-05,
|
81 |
+
"loss": 0.1258,
|
82 |
+
"step": 575
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 5.0,
|
86 |
+
"eval_accuracy": 0.8970588235294118,
|
87 |
+
"eval_combined_score": 0.9106232745805904,
|
88 |
+
"eval_f1": 0.924187725631769,
|
89 |
+
"eval_loss": 0.3507114052772522,
|
90 |
+
"eval_runtime": 1.0903,
|
91 |
+
"eval_samples_per_second": 374.196,
|
92 |
+
"eval_steps_per_second": 46.775,
|
93 |
+
"step": 575
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 6.0,
|
97 |
+
"learning_rate": 1e-05,
|
98 |
+
"loss": 0.0893,
|
99 |
+
"step": 690
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 6.0,
|
103 |
+
"eval_accuracy": 0.8848039215686274,
|
104 |
+
"eval_combined_score": 0.8994403520091766,
|
105 |
+
"eval_f1": 0.9140767824497258,
|
106 |
+
"eval_loss": 0.46679043769836426,
|
107 |
+
"eval_runtime": 1.0897,
|
108 |
+
"eval_samples_per_second": 374.408,
|
109 |
+
"eval_steps_per_second": 46.801,
|
110 |
+
"step": 690
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 7.0,
|
114 |
+
"learning_rate": 7.500000000000001e-06,
|
115 |
+
"loss": 0.0635,
|
116 |
+
"step": 805
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 7.0,
|
120 |
+
"eval_accuracy": 0.8921568627450981,
|
121 |
+
"eval_combined_score": 0.906510086048808,
|
122 |
+
"eval_f1": 0.9208633093525179,
|
123 |
+
"eval_loss": 0.5193934440612793,
|
124 |
+
"eval_runtime": 1.1035,
|
125 |
+
"eval_samples_per_second": 369.736,
|
126 |
+
"eval_steps_per_second": 46.217,
|
127 |
+
"step": 805
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 8.0,
|
131 |
+
"learning_rate": 5e-06,
|
132 |
+
"loss": 0.0391,
|
133 |
+
"step": 920
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 8.0,
|
137 |
+
"eval_accuracy": 0.8897058823529411,
|
138 |
+
"eval_combined_score": 0.9040180954414434,
|
139 |
+
"eval_f1": 0.9183303085299456,
|
140 |
+
"eval_loss": 0.642646312713623,
|
141 |
+
"eval_runtime": 1.0978,
|
142 |
+
"eval_samples_per_second": 371.638,
|
143 |
+
"eval_steps_per_second": 46.455,
|
144 |
+
"step": 920
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 9.0,
|
148 |
+
"learning_rate": 2.5e-06,
|
149 |
+
"loss": 0.0294,
|
150 |
+
"step": 1035
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 9.0,
|
154 |
+
"eval_accuracy": 0.8848039215686274,
|
155 |
+
"eval_combined_score": 0.9003626047914693,
|
156 |
+
"eval_f1": 0.9159212880143113,
|
157 |
+
"eval_loss": 0.6596136689186096,
|
158 |
+
"eval_runtime": 1.1007,
|
159 |
+
"eval_samples_per_second": 370.671,
|
160 |
+
"eval_steps_per_second": 46.334,
|
161 |
+
"step": 1035
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 10.0,
|
165 |
+
"learning_rate": 0.0,
|
166 |
+
"loss": 0.0163,
|
167 |
+
"step": 1150
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 10.0,
|
171 |
+
"eval_accuracy": 0.8921568627450981,
|
172 |
+
"eval_combined_score": 0.9063672400368089,
|
173 |
+
"eval_f1": 0.9205776173285197,
|
174 |
+
"eval_loss": 0.6627745628356934,
|
175 |
+
"eval_runtime": 1.1037,
|
176 |
+
"eval_samples_per_second": 369.676,
|
177 |
+
"eval_steps_per_second": 46.209,
|
178 |
+
"step": 1150
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 10.0,
|
182 |
+
"step": 1150,
|
183 |
+
"total_flos": 2412728377651200.0,
|
184 |
+
"train_loss": 0.20570029414218405,
|
185 |
+
"train_runtime": 332.3723,
|
186 |
+
"train_samples_per_second": 110.358,
|
187 |
+
"train_steps_per_second": 3.46
|
188 |
+
}
|
189 |
+
],
|
190 |
+
"max_steps": 1150,
|
191 |
+
"num_train_epochs": 10,
|
192 |
+
"total_flos": 2412728377651200.0,
|
193 |
+
"trial_name": null,
|
194 |
+
"trial_params": null
|
195 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3a284c958d847bca1ed75dfe235d4e054d6fb6636da319cbdb061a25d6e03a50
|
3 |
+
size 2671
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|