danield12 commited on
Commit
694a3e4
·
verified ·
1 Parent(s): 16934cd

Upload folder using huggingface_hub

Browse files
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ea8d277e715e2a736fbe18142a6cebf1b073418e531abda67df373f2f7a44731
3
  size 160086542
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f807cf91166999ea3123988f2e2b2ce66a6dad049d9f6c14b3c3202300b1673
3
  size 160086542
all_results.json CHANGED
@@ -1,17 +1,17 @@
1
  {
2
- "epoch": 0.87,
3
- "eval_accuracy": 0.5824175824175825,
4
- "eval_f1_score": 0.5868882275132276,
5
- "eval_gmean": 0.49316056422674454,
6
- "eval_loss": 0.8609203100204468,
7
- "eval_precision": 0.5918367346938775,
8
- "eval_recall": 0.5824175824175825,
9
- "eval_runtime": 40.3783,
10
- "eval_samples_per_second": 2.254,
11
- "eval_steps_per_second": 0.297,
12
- "total_flos": 1701527106355200.0,
13
- "train_loss": 0.9130859375,
14
- "train_runtime": 390.6328,
15
- "train_samples_per_second": 1.856,
16
- "train_steps_per_second": 0.013
17
  }
 
1
  {
2
+ "epoch": 1.0,
3
+ "eval_accuracy": 0.78,
4
+ "eval_f1_score": 0.7785897435897436,
5
+ "eval_gmean": 0.7961000720231877,
6
+ "eval_loss": 0.5531054735183716,
7
+ "eval_precision": 0.8186666666666668,
8
+ "eval_recall": 0.78,
9
+ "eval_runtime": 273.9816,
10
+ "eval_samples_per_second": 0.365,
11
+ "eval_steps_per_second": 0.047,
12
+ "total_flos": 1.6845278653034496e+17,
13
+ "train_loss": 0.7047583736590485,
14
+ "train_runtime": 28553.3073,
15
+ "train_samples_per_second": 0.3,
16
+ "train_steps_per_second": 0.005
17
  }
eval_results.json CHANGED
@@ -1,12 +1,12 @@
1
  {
2
- "epoch": 0.87,
3
- "eval_accuracy": 0.5824175824175825,
4
- "eval_f1_score": 0.5868882275132276,
5
- "eval_gmean": 0.49316056422674454,
6
- "eval_loss": 0.8609203100204468,
7
- "eval_precision": 0.5918367346938775,
8
- "eval_recall": 0.5824175824175825,
9
- "eval_runtime": 40.3783,
10
- "eval_samples_per_second": 2.254,
11
- "eval_steps_per_second": 0.297
12
  }
 
1
  {
2
+ "epoch": 1.0,
3
+ "eval_accuracy": 0.78,
4
+ "eval_f1_score": 0.7785897435897436,
5
+ "eval_gmean": 0.7961000720231877,
6
+ "eval_loss": 0.5531054735183716,
7
+ "eval_precision": 0.8186666666666668,
8
+ "eval_recall": 0.78,
9
+ "eval_runtime": 273.9816,
10
+ "eval_samples_per_second": 0.365,
11
+ "eval_steps_per_second": 0.047
12
  }
runs/Mar25_18-04-56_bf76bf365f95/events.out.tfevents.1711389899.bf76bf365f95.34.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33cd72fb9d13a78dde70e74225946888a01961b1b5cdc6c03af22a06b2af7c8d
3
+ size 5873
runs/Mar25_20-11-39_f542ff02488e/events.out.tfevents.1711397501.f542ff02488e.34.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:41624f153ce1ae2dd0d5edcd1f31cad0b2835060bf26664f448e80caebf9db06
3
+ size 12759
runs/Mar25_20-11-39_f542ff02488e/events.out.tfevents.1711426328.f542ff02488e.34.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:088cc617217456fe0310d4d222532846befd09b65f5796f4e83615c712ebdda8
3
+ size 615
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 0.87,
3
- "total_flos": 1701527106355200.0,
4
- "train_loss": 0.9130859375,
5
- "train_runtime": 390.6328,
6
- "train_samples_per_second": 1.856,
7
- "train_steps_per_second": 0.013
8
  }
 
1
  {
2
+ "epoch": 1.0,
3
+ "total_flos": 1.6845278653034496e+17,
4
+ "train_loss": 0.7047583736590485,
5
+ "train_runtime": 28553.3073,
6
+ "train_samples_per_second": 0.3,
7
+ "train_steps_per_second": 0.005
8
  }
trainer_state.json CHANGED
@@ -1,30 +1,246 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 0.8695652173913043,
5
- "eval_steps": 8,
6
- "global_step": 5,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
- "epoch": 0.87,
13
- "step": 5,
14
- "total_flos": 1701527106355200.0,
15
- "train_loss": 0.9130859375,
16
- "train_runtime": 390.6328,
17
- "train_samples_per_second": 1.856,
18
- "train_steps_per_second": 0.013
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19
  }
20
  ],
21
  "logging_steps": 8,
22
- "max_steps": 5,
23
  "num_input_tokens_seen": 0,
24
  "num_train_epochs": 1,
25
  "save_steps": 500,
26
- "total_flos": 1701527106355200.0,
27
- "train_batch_size": 32,
28
  "trial_name": null,
29
  "trial_params": null
30
  }
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 16,
6
+ "global_step": 134,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.06,
13
+ "grad_norm": 53.25,
14
+ "learning_rate": 1.9090909090909094e-05,
15
+ "loss": 1.1167,
16
+ "step": 8
17
+ },
18
+ {
19
+ "epoch": 0.12,
20
+ "grad_norm": 44.5,
21
+ "learning_rate": 1.787878787878788e-05,
22
+ "loss": 0.895,
23
+ "step": 16
24
+ },
25
+ {
26
+ "epoch": 0.12,
27
+ "eval_accuracy": 0.66,
28
+ "eval_f1_score": 0.644367816091954,
29
+ "eval_gmean": 0.6885077030381411,
30
+ "eval_loss": 0.8683984279632568,
31
+ "eval_precision": 0.7505555555555555,
32
+ "eval_recall": 0.66,
33
+ "eval_runtime": 272.9997,
34
+ "eval_samples_per_second": 0.366,
35
+ "eval_steps_per_second": 0.048,
36
+ "step": 16
37
+ },
38
+ {
39
+ "epoch": 0.18,
40
+ "grad_norm": 46.5,
41
+ "learning_rate": 1.6666666666666667e-05,
42
+ "loss": 0.829,
43
+ "step": 24
44
+ },
45
+ {
46
+ "epoch": 0.24,
47
+ "grad_norm": 30.875,
48
+ "learning_rate": 1.5454545454545454e-05,
49
+ "loss": 0.747,
50
+ "step": 32
51
+ },
52
+ {
53
+ "epoch": 0.24,
54
+ "eval_accuracy": 0.72,
55
+ "eval_f1_score": 0.7137777777777776,
56
+ "eval_gmean": 0.7423479773532891,
57
+ "eval_loss": 0.7020312547683716,
58
+ "eval_precision": 0.783921568627451,
59
+ "eval_recall": 0.72,
60
+ "eval_runtime": 273.193,
61
+ "eval_samples_per_second": 0.366,
62
+ "eval_steps_per_second": 0.048,
63
+ "step": 32
64
+ },
65
+ {
66
+ "epoch": 0.3,
67
+ "grad_norm": 29.375,
68
+ "learning_rate": 1.4242424242424245e-05,
69
+ "loss": 0.7173,
70
+ "step": 40
71
+ },
72
+ {
73
+ "epoch": 0.36,
74
+ "grad_norm": 28.875,
75
+ "learning_rate": 1.3030303030303032e-05,
76
+ "loss": 0.7169,
77
+ "step": 48
78
+ },
79
+ {
80
+ "epoch": 0.36,
81
+ "eval_accuracy": 0.74,
82
+ "eval_f1_score": 0.7358132045088567,
83
+ "eval_gmean": 0.7602742157385604,
84
+ "eval_loss": 0.6424999833106995,
85
+ "eval_precision": 0.7952083333333333,
86
+ "eval_recall": 0.74,
87
+ "eval_runtime": 273.7345,
88
+ "eval_samples_per_second": 0.365,
89
+ "eval_steps_per_second": 0.047,
90
+ "step": 48
91
+ },
92
+ {
93
+ "epoch": 0.42,
94
+ "grad_norm": 32.25,
95
+ "learning_rate": 1.181818181818182e-05,
96
+ "loss": 0.6892,
97
+ "step": 56
98
+ },
99
+ {
100
+ "epoch": 0.48,
101
+ "grad_norm": 35.25,
102
+ "learning_rate": 1.0606060606060606e-05,
103
+ "loss": 0.7526,
104
+ "step": 64
105
+ },
106
+ {
107
+ "epoch": 0.48,
108
+ "eval_accuracy": 0.77,
109
+ "eval_f1_score": 0.7680401002506266,
110
+ "eval_gmean": 0.7871467461661771,
111
+ "eval_loss": 0.6016992330551147,
112
+ "eval_precision": 0.8126607818411097,
113
+ "eval_recall": 0.77,
114
+ "eval_runtime": 274.3064,
115
+ "eval_samples_per_second": 0.365,
116
+ "eval_steps_per_second": 0.047,
117
+ "step": 64
118
+ },
119
+ {
120
+ "epoch": 0.54,
121
+ "grad_norm": 28.875,
122
+ "learning_rate": 9.393939393939396e-06,
123
+ "loss": 0.6553,
124
+ "step": 72
125
+ },
126
+ {
127
+ "epoch": 0.6,
128
+ "grad_norm": 25.625,
129
+ "learning_rate": 8.181818181818183e-06,
130
+ "loss": 0.5781,
131
+ "step": 80
132
+ },
133
+ {
134
+ "epoch": 0.6,
135
+ "eval_accuracy": 0.78,
136
+ "eval_f1_score": 0.7785897435897436,
137
+ "eval_gmean": 0.7961000720231877,
138
+ "eval_loss": 0.5736328363418579,
139
+ "eval_precision": 0.8186666666666668,
140
+ "eval_recall": 0.78,
141
+ "eval_runtime": 273.4905,
142
+ "eval_samples_per_second": 0.366,
143
+ "eval_steps_per_second": 0.048,
144
+ "step": 80
145
+ },
146
+ {
147
+ "epoch": 0.66,
148
+ "grad_norm": 16.5,
149
+ "learning_rate": 6.969696969696971e-06,
150
+ "loss": 0.56,
151
+ "step": 88
152
+ },
153
+ {
154
+ "epoch": 0.72,
155
+ "grad_norm": 32.5,
156
+ "learning_rate": 5.7575757575757586e-06,
157
+ "loss": 0.6035,
158
+ "step": 96
159
+ },
160
+ {
161
+ "epoch": 0.72,
162
+ "eval_accuracy": 0.78,
163
+ "eval_f1_score": 0.7785897435897436,
164
+ "eval_gmean": 0.7961000720231877,
165
+ "eval_loss": 0.5596484541893005,
166
+ "eval_precision": 0.8186666666666668,
167
+ "eval_recall": 0.78,
168
+ "eval_runtime": 273.6048,
169
+ "eval_samples_per_second": 0.365,
170
+ "eval_steps_per_second": 0.048,
171
+ "step": 96
172
+ },
173
+ {
174
+ "epoch": 0.78,
175
+ "grad_norm": 24.0,
176
+ "learning_rate": 4.5454545454545455e-06,
177
+ "loss": 0.6456,
178
+ "step": 104
179
+ },
180
+ {
181
+ "epoch": 0.84,
182
+ "grad_norm": 34.75,
183
+ "learning_rate": 3.3333333333333333e-06,
184
+ "loss": 0.655,
185
+ "step": 112
186
+ },
187
+ {
188
+ "epoch": 0.84,
189
+ "eval_accuracy": 0.78,
190
+ "eval_f1_score": 0.7785897435897436,
191
+ "eval_gmean": 0.7961000720231877,
192
+ "eval_loss": 0.5552539229393005,
193
+ "eval_precision": 0.8186666666666668,
194
+ "eval_recall": 0.78,
195
+ "eval_runtime": 273.6051,
196
+ "eval_samples_per_second": 0.365,
197
+ "eval_steps_per_second": 0.048,
198
+ "step": 112
199
+ },
200
+ {
201
+ "epoch": 0.9,
202
+ "grad_norm": 25.625,
203
+ "learning_rate": 2.1212121212121216e-06,
204
+ "loss": 0.5464,
205
+ "step": 120
206
+ },
207
+ {
208
+ "epoch": 0.96,
209
+ "grad_norm": 16.625,
210
+ "learning_rate": 9.090909090909091e-07,
211
+ "loss": 0.606,
212
+ "step": 128
213
+ },
214
+ {
215
+ "epoch": 0.96,
216
+ "eval_accuracy": 0.78,
217
+ "eval_f1_score": 0.7785897435897436,
218
+ "eval_gmean": 0.7961000720231877,
219
+ "eval_loss": 0.5531054735183716,
220
+ "eval_precision": 0.8186666666666668,
221
+ "eval_recall": 0.78,
222
+ "eval_runtime": 273.8068,
223
+ "eval_samples_per_second": 0.365,
224
+ "eval_steps_per_second": 0.047,
225
+ "step": 128
226
+ },
227
+ {
228
+ "epoch": 1.0,
229
+ "step": 134,
230
+ "total_flos": 1.6845278653034496e+17,
231
+ "train_loss": 0.7047583736590485,
232
+ "train_runtime": 28553.3073,
233
+ "train_samples_per_second": 0.3,
234
+ "train_steps_per_second": 0.005
235
  }
236
  ],
237
  "logging_steps": 8,
238
+ "max_steps": 134,
239
  "num_input_tokens_seen": 0,
240
  "num_train_epochs": 1,
241
  "save_steps": 500,
242
+ "total_flos": 1.6845278653034496e+17,
243
+ "train_batch_size": 16,
244
  "trial_name": null,
245
  "trial_params": null
246
  }