Mardiyyah commited on
Commit
a3bf8bc
·
verified ·
1 Parent(s): 9bf36a6

End of training

Browse files
Files changed (5) hide show
  1. README.md +2 -2
  2. all_results.json +15 -0
  3. eval_results.json +15 -0
  4. train_results.json +9 -0
  5. trainer_state.json +192 -0
README.md CHANGED
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # TAPT_data-V2_Bioformer-16L_LR-0.0005
16
 
17
- This model is a fine-tuned version of [bioformers/bioformer-16L](https://huggingface.co/bioformers/bioformer-16L) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 3.4749
20
 
21
  ## Model description
22
 
 
14
 
15
  # TAPT_data-V2_Bioformer-16L_LR-0.0005
16
 
17
+ This model is a fine-tuned version of [bioformers/bioformer-16L](https://huggingface.co/bioformers/bioformer-16L) on the Mardiyyah/TAPT_data_V2_split dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 3.4623
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_loss": 3.4622573852539062,
4
+ "eval_runtime": 2.2596,
5
+ "eval_samples": 1945,
6
+ "eval_samples_per_second": 860.769,
7
+ "eval_steps_per_second": 53.992,
8
+ "perplexity": 31.888880815596,
9
+ "total_flos": 1536221652235776.0,
10
+ "train_loss": 2.5605053229872228,
11
+ "train_runtime": 388.3929,
12
+ "train_samples": 9733,
13
+ "train_samples_per_second": 250.597,
14
+ "train_steps_per_second": 15.68
15
+ }
eval_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_loss": 3.4622573852539062,
4
+ "eval_runtime": 2.2596,
5
+ "eval_samples": 1945,
6
+ "eval_samples_per_second": 860.769,
7
+ "eval_steps_per_second": 53.992,
8
+ "perplexity": 31.888880815596,
9
+ "total_flos": 1536221652235776.0,
10
+ "train_loss": 2.5605053229872228,
11
+ "train_runtime": 388.3929,
12
+ "train_samples": 9733,
13
+ "train_samples_per_second": 250.597,
14
+ "train_steps_per_second": 15.68
15
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "total_flos": 1536221652235776.0,
4
+ "train_loss": 2.5605053229872228,
5
+ "train_runtime": 388.3929,
6
+ "train_samples": 9733,
7
+ "train_samples_per_second": 250.597,
8
+ "train_steps_per_second": 15.68
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,192 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 3.474938154220581,
3
+ "best_model_checkpoint": "./TAPT_data-V2_Bioformer-16L_LR-0.0005/checkpoint-6090",
4
+ "epoch": 10.0,
5
+ "eval_steps": 500,
6
+ "global_step": 6090,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "grad_norm": 49.082210540771484,
14
+ "learning_rate": 0.00047877358490566036,
15
+ "loss": 2.9555,
16
+ "step": 609
17
+ },
18
+ {
19
+ "epoch": 1.0,
20
+ "eval_loss": 3.884225845336914,
21
+ "eval_runtime": 2.2953,
22
+ "eval_samples_per_second": 847.372,
23
+ "eval_steps_per_second": 53.151,
24
+ "step": 609
25
+ },
26
+ {
27
+ "epoch": 2.0,
28
+ "grad_norm": 29.47579002380371,
29
+ "learning_rate": 0.0004255765199161425,
30
+ "loss": 3.4591,
31
+ "step": 1218
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_loss": 4.176673412322998,
36
+ "eval_runtime": 2.3902,
37
+ "eval_samples_per_second": 813.746,
38
+ "eval_steps_per_second": 51.042,
39
+ "step": 1218
40
+ },
41
+ {
42
+ "epoch": 3.0,
43
+ "grad_norm": 20.8883113861084,
44
+ "learning_rate": 0.00037237945492662474,
45
+ "loss": 3.3266,
46
+ "step": 1827
47
+ },
48
+ {
49
+ "epoch": 3.0,
50
+ "eval_loss": 4.201623439788818,
51
+ "eval_runtime": 2.3441,
52
+ "eval_samples_per_second": 829.735,
53
+ "eval_steps_per_second": 52.045,
54
+ "step": 1827
55
+ },
56
+ {
57
+ "epoch": 4.0,
58
+ "grad_norm": 20.087749481201172,
59
+ "learning_rate": 0.0003191823899371069,
60
+ "loss": 3.0264,
61
+ "step": 2436
62
+ },
63
+ {
64
+ "epoch": 4.0,
65
+ "eval_loss": 4.025837421417236,
66
+ "eval_runtime": 2.1116,
67
+ "eval_samples_per_second": 921.11,
68
+ "eval_steps_per_second": 57.777,
69
+ "step": 2436
70
+ },
71
+ {
72
+ "epoch": 5.0,
73
+ "grad_norm": 24.700023651123047,
74
+ "learning_rate": 0.00026598532494758907,
75
+ "loss": 2.7402,
76
+ "step": 3045
77
+ },
78
+ {
79
+ "epoch": 5.0,
80
+ "eval_loss": 3.8213584423065186,
81
+ "eval_runtime": 2.3843,
82
+ "eval_samples_per_second": 815.767,
83
+ "eval_steps_per_second": 51.169,
84
+ "step": 3045
85
+ },
86
+ {
87
+ "epoch": 6.0,
88
+ "grad_norm": 21.42559051513672,
89
+ "learning_rate": 0.00021278825995807126,
90
+ "loss": 2.4781,
91
+ "step": 3654
92
+ },
93
+ {
94
+ "epoch": 6.0,
95
+ "eval_loss": 3.810668706893921,
96
+ "eval_runtime": 2.3336,
97
+ "eval_samples_per_second": 833.486,
98
+ "eval_steps_per_second": 52.28,
99
+ "step": 3654
100
+ },
101
+ {
102
+ "epoch": 7.0,
103
+ "grad_norm": 20.396045684814453,
104
+ "learning_rate": 0.00015959119496855345,
105
+ "loss": 2.2409,
106
+ "step": 4263
107
+ },
108
+ {
109
+ "epoch": 7.0,
110
+ "eval_loss": 3.685856819152832,
111
+ "eval_runtime": 2.1403,
112
+ "eval_samples_per_second": 908.742,
113
+ "eval_steps_per_second": 57.001,
114
+ "step": 4263
115
+ },
116
+ {
117
+ "epoch": 8.0,
118
+ "grad_norm": 18.948102951049805,
119
+ "learning_rate": 0.00010639412997903563,
120
+ "loss": 1.9816,
121
+ "step": 4872
122
+ },
123
+ {
124
+ "epoch": 8.0,
125
+ "eval_loss": 3.6025681495666504,
126
+ "eval_runtime": 2.1051,
127
+ "eval_samples_per_second": 923.932,
128
+ "eval_steps_per_second": 57.954,
129
+ "step": 4872
130
+ },
131
+ {
132
+ "epoch": 9.0,
133
+ "grad_norm": 26.760536193847656,
134
+ "learning_rate": 5.3197064989517815e-05,
135
+ "loss": 1.7825,
136
+ "step": 5481
137
+ },
138
+ {
139
+ "epoch": 9.0,
140
+ "eval_loss": 3.4999165534973145,
141
+ "eval_runtime": 2.0996,
142
+ "eval_samples_per_second": 926.384,
143
+ "eval_steps_per_second": 58.107,
144
+ "step": 5481
145
+ },
146
+ {
147
+ "epoch": 10.0,
148
+ "grad_norm": 25.620874404907227,
149
+ "learning_rate": 0.0,
150
+ "loss": 1.6141,
151
+ "step": 6090
152
+ },
153
+ {
154
+ "epoch": 10.0,
155
+ "eval_loss": 3.474938154220581,
156
+ "eval_runtime": 2.2881,
157
+ "eval_samples_per_second": 850.053,
158
+ "eval_steps_per_second": 53.32,
159
+ "step": 6090
160
+ },
161
+ {
162
+ "epoch": 10.0,
163
+ "step": 6090,
164
+ "total_flos": 1536221652235776.0,
165
+ "train_loss": 2.5605053229872228,
166
+ "train_runtime": 388.3929,
167
+ "train_samples_per_second": 250.597,
168
+ "train_steps_per_second": 15.68
169
+ }
170
+ ],
171
+ "logging_steps": 500,
172
+ "max_steps": 6090,
173
+ "num_input_tokens_seen": 0,
174
+ "num_train_epochs": 10,
175
+ "save_steps": 500,
176
+ "stateful_callbacks": {
177
+ "TrainerControl": {
178
+ "args": {
179
+ "should_epoch_stop": false,
180
+ "should_evaluate": false,
181
+ "should_log": false,
182
+ "should_save": true,
183
+ "should_training_stop": true
184
+ },
185
+ "attributes": {}
186
+ }
187
+ },
188
+ "total_flos": 1536221652235776.0,
189
+ "train_batch_size": 16,
190
+ "trial_name": null,
191
+ "trial_params": null
192
+ }