gokulsrinivasagan commited on
Commit
5d3685a
1 Parent(s): cd233b7

End of training

Browse files
README.md CHANGED
@@ -1,13 +1,28 @@
1
  ---
2
  library_name: transformers
 
 
3
  base_model: gokulsrinivasagan/distilbert_lda_5_v1
4
  tags:
5
  - generated_from_trainer
 
 
6
  metrics:
7
  - accuracy
8
  model-index:
9
  - name: distilbert_lda_5_v1_rte
10
- results: []
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # distilbert_lda_5_v1_rte
17
 
18
- This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.6935
21
- - Accuracy: 0.4729
22
 
23
  ## Model description
24
 
 
1
  ---
2
  library_name: transformers
3
+ language:
4
+ - en
5
  base_model: gokulsrinivasagan/distilbert_lda_5_v1
6
  tags:
7
  - generated_from_trainer
8
+ datasets:
9
+ - glue
10
  metrics:
11
  - accuracy
12
  model-index:
13
  - name: distilbert_lda_5_v1_rte
14
+ results:
15
+ - task:
16
+ name: Text Classification
17
+ type: text-classification
18
+ dataset:
19
+ name: GLUE RTE
20
+ type: glue
21
+ args: rte
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.5270758122743683
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # distilbert_lda_5_v1_rte
32
 
33
+ This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1) on the GLUE RTE dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.6916
36
+ - Accuracy: 0.5271
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "eval_accuracy": 0.5270758122743683,
4
+ "eval_loss": 0.6915614008903503,
5
+ "eval_runtime": 0.135,
6
+ "eval_samples": 277,
7
+ "eval_samples_per_second": 2051.606,
8
+ "eval_steps_per_second": 14.813,
9
+ "total_flos": 1979062935920640.0,
10
+ "train_loss": 0.7172688285509745,
11
+ "train_runtime": 49.8636,
12
+ "train_samples": 2490,
13
+ "train_samples_per_second": 2496.812,
14
+ "train_steps_per_second": 10.027
15
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "eval_accuracy": 0.5270758122743683,
4
+ "eval_loss": 0.6915614008903503,
5
+ "eval_runtime": 0.135,
6
+ "eval_samples": 277,
7
+ "eval_samples_per_second": 2051.606,
8
+ "eval_steps_per_second": 14.813
9
+ }
logs/events.out.tfevents.1732645862.ki-g0008.2135472.9 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6cb7688a5a4fcf16e91c1eda11ea7c9b737152c78f49966b30b0683a1e104645
3
+ size 405
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "total_flos": 1979062935920640.0,
4
+ "train_loss": 0.7172688285509745,
5
+ "train_runtime": 49.8636,
6
+ "train_samples": 2490,
7
+ "train_samples_per_second": 2496.812,
8
+ "train_steps_per_second": 10.027
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,243 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6915614008903503,
3
+ "best_model_checkpoint": "distilbert_lda_5_v1_rte/checkpoint-70",
4
+ "epoch": 12.0,
5
+ "eval_steps": 500,
6
+ "global_step": 120,
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": 0.5855181813240051,
14
+ "learning_rate": 0.00098,
15
+ "loss": 0.9449,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 1.0,
20
+ "eval_accuracy": 0.5270758122743683,
21
+ "eval_loss": 0.7021801471710205,
22
+ "eval_runtime": 0.1254,
23
+ "eval_samples_per_second": 2209.06,
24
+ "eval_steps_per_second": 15.95,
25
+ "step": 10
26
+ },
27
+ {
28
+ "epoch": 2.0,
29
+ "grad_norm": 0.4455162584781647,
30
+ "learning_rate": 0.00096,
31
+ "loss": 0.7042,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 2.0,
36
+ "eval_accuracy": 0.4729241877256318,
37
+ "eval_loss": 0.6999943852424622,
38
+ "eval_runtime": 0.1299,
39
+ "eval_samples_per_second": 2133.087,
40
+ "eval_steps_per_second": 15.401,
41
+ "step": 20
42
+ },
43
+ {
44
+ "epoch": 3.0,
45
+ "grad_norm": 0.8011177182197571,
46
+ "learning_rate": 0.00094,
47
+ "loss": 0.7004,
48
+ "step": 30
49
+ },
50
+ {
51
+ "epoch": 3.0,
52
+ "eval_accuracy": 0.5270758122743683,
53
+ "eval_loss": 0.691927969455719,
54
+ "eval_runtime": 0.1312,
55
+ "eval_samples_per_second": 2111.997,
56
+ "eval_steps_per_second": 15.249,
57
+ "step": 30
58
+ },
59
+ {
60
+ "epoch": 4.0,
61
+ "grad_norm": 0.39011821150779724,
62
+ "learning_rate": 0.00092,
63
+ "loss": 0.6962,
64
+ "step": 40
65
+ },
66
+ {
67
+ "epoch": 4.0,
68
+ "eval_accuracy": 0.5270758122743683,
69
+ "eval_loss": 0.6929433941841125,
70
+ "eval_runtime": 0.1287,
71
+ "eval_samples_per_second": 2152.24,
72
+ "eval_steps_per_second": 15.54,
73
+ "step": 40
74
+ },
75
+ {
76
+ "epoch": 5.0,
77
+ "grad_norm": 0.33056044578552246,
78
+ "learning_rate": 0.0009000000000000001,
79
+ "loss": 0.6965,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 5.0,
84
+ "eval_accuracy": 0.5270758122743683,
85
+ "eval_loss": 0.6995571851730347,
86
+ "eval_runtime": 0.1316,
87
+ "eval_samples_per_second": 2104.975,
88
+ "eval_steps_per_second": 15.198,
89
+ "step": 50
90
+ },
91
+ {
92
+ "epoch": 6.0,
93
+ "grad_norm": 0.3222827613353729,
94
+ "learning_rate": 0.00088,
95
+ "loss": 0.6965,
96
+ "step": 60
97
+ },
98
+ {
99
+ "epoch": 6.0,
100
+ "eval_accuracy": 0.5270758122743683,
101
+ "eval_loss": 0.6917728781700134,
102
+ "eval_runtime": 0.129,
103
+ "eval_samples_per_second": 2146.95,
104
+ "eval_steps_per_second": 15.501,
105
+ "step": 60
106
+ },
107
+ {
108
+ "epoch": 7.0,
109
+ "grad_norm": 0.2771111726760864,
110
+ "learning_rate": 0.00086,
111
+ "loss": 0.6947,
112
+ "step": 70
113
+ },
114
+ {
115
+ "epoch": 7.0,
116
+ "eval_accuracy": 0.5270758122743683,
117
+ "eval_loss": 0.6915614008903503,
118
+ "eval_runtime": 0.1383,
119
+ "eval_samples_per_second": 2002.531,
120
+ "eval_steps_per_second": 14.459,
121
+ "step": 70
122
+ },
123
+ {
124
+ "epoch": 8.0,
125
+ "grad_norm": 0.3152952194213867,
126
+ "learning_rate": 0.00084,
127
+ "loss": 0.6949,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 8.0,
132
+ "eval_accuracy": 0.4729241877256318,
133
+ "eval_loss": 0.6938458681106567,
134
+ "eval_runtime": 0.1301,
135
+ "eval_samples_per_second": 2129.334,
136
+ "eval_steps_per_second": 15.374,
137
+ "step": 80
138
+ },
139
+ {
140
+ "epoch": 9.0,
141
+ "grad_norm": 0.508091390132904,
142
+ "learning_rate": 0.00082,
143
+ "loss": 0.6948,
144
+ "step": 90
145
+ },
146
+ {
147
+ "epoch": 9.0,
148
+ "eval_accuracy": 0.4729241877256318,
149
+ "eval_loss": 0.699120044708252,
150
+ "eval_runtime": 0.1297,
151
+ "eval_samples_per_second": 2135.915,
152
+ "eval_steps_per_second": 15.422,
153
+ "step": 90
154
+ },
155
+ {
156
+ "epoch": 10.0,
157
+ "grad_norm": 0.13915003836154938,
158
+ "learning_rate": 0.0008,
159
+ "loss": 0.6957,
160
+ "step": 100
161
+ },
162
+ {
163
+ "epoch": 10.0,
164
+ "eval_accuracy": 0.5270758122743683,
165
+ "eval_loss": 0.6919844150543213,
166
+ "eval_runtime": 0.1283,
167
+ "eval_samples_per_second": 2159.75,
168
+ "eval_steps_per_second": 15.594,
169
+ "step": 100
170
+ },
171
+ {
172
+ "epoch": 11.0,
173
+ "grad_norm": 0.2669129967689514,
174
+ "learning_rate": 0.0007800000000000001,
175
+ "loss": 0.6941,
176
+ "step": 110
177
+ },
178
+ {
179
+ "epoch": 11.0,
180
+ "eval_accuracy": 0.4729241877256318,
181
+ "eval_loss": 0.6955804228782654,
182
+ "eval_runtime": 0.1281,
183
+ "eval_samples_per_second": 2162.358,
184
+ "eval_steps_per_second": 15.613,
185
+ "step": 110
186
+ },
187
+ {
188
+ "epoch": 12.0,
189
+ "grad_norm": 0.15157711505889893,
190
+ "learning_rate": 0.00076,
191
+ "loss": 0.6944,
192
+ "step": 120
193
+ },
194
+ {
195
+ "epoch": 12.0,
196
+ "eval_accuracy": 0.4729241877256318,
197
+ "eval_loss": 0.6934651136398315,
198
+ "eval_runtime": 0.1305,
199
+ "eval_samples_per_second": 2122.658,
200
+ "eval_steps_per_second": 15.326,
201
+ "step": 120
202
+ },
203
+ {
204
+ "epoch": 12.0,
205
+ "step": 120,
206
+ "total_flos": 1979062935920640.0,
207
+ "train_loss": 0.7172688285509745,
208
+ "train_runtime": 49.8636,
209
+ "train_samples_per_second": 2496.812,
210
+ "train_steps_per_second": 10.027
211
+ }
212
+ ],
213
+ "logging_steps": 1,
214
+ "max_steps": 500,
215
+ "num_input_tokens_seen": 0,
216
+ "num_train_epochs": 50,
217
+ "save_steps": 500,
218
+ "stateful_callbacks": {
219
+ "EarlyStoppingCallback": {
220
+ "args": {
221
+ "early_stopping_patience": 5,
222
+ "early_stopping_threshold": 0.0
223
+ },
224
+ "attributes": {
225
+ "early_stopping_patience_counter": 5
226
+ }
227
+ },
228
+ "TrainerControl": {
229
+ "args": {
230
+ "should_epoch_stop": false,
231
+ "should_evaluate": false,
232
+ "should_log": false,
233
+ "should_save": true,
234
+ "should_training_stop": true
235
+ },
236
+ "attributes": {}
237
+ }
238
+ },
239
+ "total_flos": 1979062935920640.0,
240
+ "train_batch_size": 256,
241
+ "trial_name": null,
242
+ "trial_params": null
243
+ }