José Antonio García Díaz commited on
Commit
308b9d4
·
1 Parent(s): 816f243

update model with adjusted corpus

Browse files
config.json CHANGED
@@ -12,16 +12,16 @@
12
  "hidden_dropout_prob": 0.0,
13
  "hidden_size": 768,
14
  "id2label": {
15
- "0": "Negative",
16
- "1": "Neutral",
17
- "2": "Positive"
18
  },
19
  "initializer_range": 0.02,
20
  "intermediate_size": 3072,
21
  "label2id": {
22
- "Negative": 0,
23
- "Neutral": 1,
24
- "Positive": 2
25
  },
26
  "layer_norm_eps": 1e-05,
27
  "max_position_embeddings": 514,
 
12
  "hidden_dropout_prob": 0.0,
13
  "hidden_size": 768,
14
  "id2label": {
15
+ "0": "LABEL_0",
16
+ "1": "LABEL_1",
17
+ "2": "LABEL_2"
18
  },
19
  "initializer_range": 0.02,
20
  "intermediate_size": 3072,
21
  "label2id": {
22
+ "LABEL_0": 0,
23
+ "LABEL_1": 1,
24
+ "LABEL_2": 2
25
  },
26
  "layer_norm_eps": 1e-05,
27
  "max_position_embeddings": 514,
hyperparameters.csv ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ objective,best,learning_rate,num_train_epochs,per_device_train_batch_size,warmup_steps,weight_decay,time_this_iter_s
2
+ 0.8308016875112519,False,2.1765787781353998e-05,1,16,0,0.2779928681001568,70.68486714363098
3
+ 0.8208579588481721,False,1.0571835122759025e-05,4,16,0,0.08349868710232541,69.73215866088867
4
+ 0.832166006303993,False,1.2795649540620917e-05,1,8,0,0.2704258566938061,76.97464203834534
5
+ 0.8394192385480443,True,4.65591694361634e-05,1,16,250,0.2103754328402818,70.83545136451721
6
+ 0.8366512897395006,False,2.6370464742949582e-05,1,8,250,0.26429846288311887,77.25557279586792
7
+ 0.8110507698879218,False,4.64238812312384e-05,4,8,500,0.13639810320763826,76.0791552066803
8
+ 0.8303948363746132,False,3.9043689561606625e-05,1,16,250,0.06075214917397778,71.24034976959229
9
+ 0.8015180450557305,False,2.2502123920264867e-05,3,8,250,0.21316207286076047,76.04998445510864
10
+ 0.793748592229527,False,2.7807755379517034e-05,1,8,1000,0.16241717486314383,77.22514963150024
11
+ 0.8033119941220733,False,4.858723883045379e-05,3,16,250,0.1574600638437009,69.87509036064148
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0b67eb187e60c07d0b3389e2553f828483b8396a67b3ac661adbf2f815235df1
3
  size 498606684
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b114d27450122a79631f3e70e5f993549e165d051a7c80ce2645b0a526bf6df
3
  size 498606684
optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c1d86d77cf8a747e8acba4c228c9952fa0938862eb1cc969a98f21d1d47e2e31
3
  size 997333242
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af3ecf6d848a47a23e0f58ce7e993b4ba7c9fd33c56a201776ce768cd6e0055e
3
  size 997333242
scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5b07870366742244f712c99808f9f687dc85bd4bf5b13e5b9490e478b2a32ecb
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4f753249e6e05a99e4c20b9f6975ad02a63ca0f1e4cdb54441b4628482980e8c
3
  size 1064
trainer_state.json CHANGED
@@ -1,159 +1,34 @@
1
  {
2
- "best_metric": 0.5272276997566223,
3
- "best_model_checkpoint": "./results/run-fa19ee57/checkpoint-3740",
4
- "epoch": 4.0,
5
  "eval_steps": 500,
6
- "global_step": 14960,
7
  "is_hyper_param_search": true,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
- "epoch": 0.00026737967914438503,
13
- "grad_norm": 1.5169804096221924,
14
- "learning_rate": 6.677122018388977e-08,
15
- "loss": 1.1106,
16
  "step": 1
17
  },
18
- {
19
- "epoch": 0.26737967914438504,
20
- "grad_norm": 11.680069923400879,
21
- "learning_rate": 1.584171029515808e-05,
22
- "loss": 0.7897,
23
- "step": 1000
24
- },
25
- {
26
- "epoch": 0.5347593582887701,
27
- "grad_norm": 11.042302131652832,
28
- "learning_rate": 1.4706917294072254e-05,
29
- "loss": 0.6084,
30
- "step": 2000
31
- },
32
- {
33
- "epoch": 0.8021390374331551,
34
- "grad_norm": 17.39794921875,
35
- "learning_rate": 1.3572124292986432e-05,
36
- "loss": 0.5471,
37
- "step": 3000
38
- },
39
  {
40
  "epoch": 1.0,
41
- "eval_f1": 0.7848222201687379,
42
- "eval_loss": 0.5272276997566223,
43
- "eval_runtime": 29.3574,
44
- "eval_samples_per_second": 339.745,
45
- "eval_steps_per_second": 42.477,
46
- "step": 3740
47
- },
48
- {
49
- "epoch": 1.0695187165775402,
50
- "grad_norm": 2.134364604949951,
51
- "learning_rate": 1.243733129190061e-05,
52
- "loss": 0.4751,
53
- "step": 4000
54
- },
55
- {
56
- "epoch": 1.3368983957219251,
57
- "grad_norm": 41.253849029541016,
58
- "learning_rate": 1.1302538290814788e-05,
59
- "loss": 0.3362,
60
- "step": 5000
61
- },
62
- {
63
- "epoch": 1.6042780748663101,
64
- "grad_norm": 17.477731704711914,
65
- "learning_rate": 1.0167745289728967e-05,
66
- "loss": 0.343,
67
- "step": 6000
68
- },
69
- {
70
- "epoch": 1.8716577540106951,
71
- "grad_norm": 31.10905647277832,
72
- "learning_rate": 9.032952288643143e-06,
73
- "loss": 0.3246,
74
- "step": 7000
75
- },
76
- {
77
- "epoch": 2.0,
78
- "eval_f1": 0.807926137512124,
79
- "eval_loss": 0.6871171593666077,
80
- "eval_runtime": 29.3563,
81
- "eval_samples_per_second": 339.757,
82
- "eval_steps_per_second": 42.478,
83
- "step": 7480
84
- },
85
- {
86
- "epoch": 2.1390374331550803,
87
- "grad_norm": 38.711708068847656,
88
- "learning_rate": 7.89815928755732e-06,
89
- "loss": 0.2229,
90
- "step": 8000
91
- },
92
- {
93
- "epoch": 2.406417112299465,
94
- "grad_norm": 22.373706817626953,
95
- "learning_rate": 6.7633662864715e-06,
96
- "loss": 0.1367,
97
- "step": 9000
98
- },
99
- {
100
- "epoch": 2.6737967914438503,
101
- "grad_norm": 53.95636749267578,
102
- "learning_rate": 5.628573285385677e-06,
103
- "loss": 0.1458,
104
- "step": 10000
105
- },
106
- {
107
- "epoch": 2.9411764705882355,
108
- "grad_norm": 1.9054352045059204,
109
- "learning_rate": 4.493780284299856e-06,
110
- "loss": 0.1314,
111
- "step": 11000
112
- },
113
- {
114
- "epoch": 3.0,
115
- "eval_f1": 0.8155244394452302,
116
- "eval_loss": 0.9170186519622803,
117
- "eval_runtime": 29.3912,
118
- "eval_samples_per_second": 339.353,
119
- "eval_steps_per_second": 42.428,
120
- "step": 11220
121
- },
122
- {
123
- "epoch": 3.2085561497326203,
124
- "grad_norm": 0.004946542903780937,
125
- "learning_rate": 3.358987283214033e-06,
126
- "loss": 0.0585,
127
- "step": 12000
128
- },
129
- {
130
- "epoch": 3.4759358288770055,
131
- "grad_norm": 0.1009206771850586,
132
- "learning_rate": 2.224194282128211e-06,
133
- "loss": 0.037,
134
- "step": 13000
135
- },
136
- {
137
- "epoch": 3.7433155080213902,
138
- "grad_norm": 0.021053463220596313,
139
- "learning_rate": 1.0894012810423893e-06,
140
- "loss": 0.0432,
141
- "step": 14000
142
- },
143
- {
144
- "epoch": 4.0,
145
- "eval_f1": 0.8205950902835818,
146
- "eval_loss": 1.032849669456482,
147
- "eval_runtime": 29.3592,
148
- "eval_samples_per_second": 339.723,
149
- "eval_steps_per_second": 42.474,
150
- "step": 14960
151
  }
152
  ],
153
  "logging_steps": 1000,
154
- "max_steps": 14960,
155
  "num_input_tokens_seen": 0,
156
- "num_train_epochs": 4,
157
  "save_steps": 500,
158
  "stateful_callbacks": {
159
  "TrainerControl": {
@@ -167,14 +42,14 @@
167
  "attributes": {}
168
  }
169
  },
170
- "total_flos": 2.9467913445282816e+16,
171
- "train_batch_size": 8,
172
  "trial_name": null,
173
  "trial_params": {
174
- "learning_rate": 1.6692805045972443e-05,
175
- "num_train_epochs": 4,
176
- "per_device_train_batch_size": 8,
177
  "warmup_steps": 250,
178
- "weight_decay": 0.14200719532179423
179
  }
180
  }
 
1
  {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
  "eval_steps": 500,
6
+ "global_step": 414,
7
  "is_hyper_param_search": true,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.0024154589371980675,
13
+ "grad_norm": 1.6261011362075806,
14
+ "learning_rate": 1.862366777446536e-07,
15
+ "loss": 1.1,
16
  "step": 1
17
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18
  {
19
  "epoch": 1.0,
20
+ "eval_f1": 0.8394192385480443,
21
+ "eval_loss": 0.38631680607795715,
22
+ "eval_runtime": 2.1374,
23
+ "eval_samples_per_second": 1033.029,
24
+ "eval_steps_per_second": 129.129,
25
+ "step": 414
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26
  }
27
  ],
28
  "logging_steps": 1000,
29
+ "max_steps": 414,
30
  "num_input_tokens_seen": 0,
31
+ "num_train_epochs": 1,
32
  "save_steps": 500,
33
  "stateful_callbacks": {
34
  "TrainerControl": {
 
42
  "attributes": {}
43
  }
44
  },
45
+ "total_flos": 4209814683648.0,
46
+ "train_batch_size": 16,
47
  "trial_name": null,
48
  "trial_params": {
49
+ "learning_rate": 4.65591694361634e-05,
50
+ "num_train_epochs": 1,
51
+ "per_device_train_batch_size": 16,
52
  "warmup_steps": 250,
53
+ "weight_decay": 0.2103754328402818
54
  }
55
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4ba9a4ffaa70c7e045b0900e8e84762b50381bc617e266ba61c82c6d7eda6333
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83b594183cbe9f09ddaf478eae629dcdb3d51b9bcb4757de1f514b20d09ee833
3
  size 5240
training_resume.json CHANGED
@@ -19,7 +19,7 @@
19
  "resources_per_trial": {
20
  "gpu": 1
21
  },
22
- "run_id": "fa19ee57",
23
  "task": "",
24
  "task_type": "classification",
25
  "tokenizer_field": "tweet",
 
19
  "resources_per_trial": {
20
  "gpu": 1
21
  },
22
+ "run_id": "24fa3a3c",
23
  "task": "",
24
  "task_type": "classification",
25
  "tokenizer_field": "tweet",