File size: 6,336 Bytes
965c27f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
{
  "best_metric": 0.7884615384615384,
  "best_model_checkpoint": "/home/ubuntu/utah/babylm-24/src/evaluation/results/finetune/DebertaV2-Base-10M_babylm-A/boolq/checkpoint-4716",
  "epoch": 7.0,
  "eval_steps": 500,
  "global_step": 8253,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.42408821034775235,
      "grad_norm": 4.898578643798828,
      "learning_rate": 9.787955894826124e-06,
      "loss": 0.669,
      "step": 500
    },
    {
      "epoch": 0.8481764206955047,
      "grad_norm": 2.427595615386963,
      "learning_rate": 9.575911789652248e-06,
      "loss": 0.6535,
      "step": 1000
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6513761281967163,
      "eval_f1": 0.7812739831158864,
      "eval_loss": 0.6350241899490356,
      "eval_mcc": 0.1190648771022687,
      "eval_runtime": 2.7173,
      "eval_samples_per_second": 601.699,
      "eval_steps_per_second": 75.442,
      "step": 1179
    },
    {
      "epoch": 1.272264631043257,
      "grad_norm": 3.5514039993286133,
      "learning_rate": 9.363867684478373e-06,
      "loss": 0.6279,
      "step": 1500
    },
    {
      "epoch": 1.6963528413910094,
      "grad_norm": 6.262450218200684,
      "learning_rate": 9.151823579304497e-06,
      "loss": 0.6019,
      "step": 2000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6446483135223389,
      "eval_f1": 0.7172749391727494,
      "eval_loss": 0.6267324090003967,
      "eval_mcc": 0.23986158954968526,
      "eval_runtime": 2.7281,
      "eval_samples_per_second": 599.313,
      "eval_steps_per_second": 75.143,
      "step": 2358
    },
    {
      "epoch": 2.1204410517387617,
      "grad_norm": 10.400861740112305,
      "learning_rate": 8.93977947413062e-06,
      "loss": 0.5841,
      "step": 2500
    },
    {
      "epoch": 2.544529262086514,
      "grad_norm": 6.1930718421936035,
      "learning_rate": 8.727735368956744e-06,
      "loss": 0.5239,
      "step": 3000
    },
    {
      "epoch": 2.9686174724342664,
      "grad_norm": 9.404278755187988,
      "learning_rate": 8.515691263782867e-06,
      "loss": 0.5263,
      "step": 3500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.6709480285644531,
      "eval_f1": 0.738581146744412,
      "eval_loss": 0.6594865322113037,
      "eval_mcc": 0.2953818504855689,
      "eval_runtime": 2.7221,
      "eval_samples_per_second": 600.629,
      "eval_steps_per_second": 75.308,
      "step": 3537
    },
    {
      "epoch": 3.392705682782019,
      "grad_norm": 8.5890474319458,
      "learning_rate": 8.303647158608991e-06,
      "loss": 0.4231,
      "step": 4000
    },
    {
      "epoch": 3.816793893129771,
      "grad_norm": 19.422046661376953,
      "learning_rate": 8.091603053435115e-06,
      "loss": 0.4158,
      "step": 4500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7039755582809448,
      "eval_f1": 0.7884615384615384,
      "eval_loss": 0.7751796245574951,
      "eval_mcc": 0.3197717100660696,
      "eval_runtime": 2.7784,
      "eval_samples_per_second": 588.466,
      "eval_steps_per_second": 73.783,
      "step": 4716
    },
    {
      "epoch": 4.2408821034775235,
      "grad_norm": 26.661087036132812,
      "learning_rate": 7.879558948261238e-06,
      "loss": 0.3625,
      "step": 5000
    },
    {
      "epoch": 4.664970313825275,
      "grad_norm": 7.987252235412598,
      "learning_rate": 7.667514843087362e-06,
      "loss": 0.3286,
      "step": 5500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.6856269240379333,
      "eval_f1": 0.7485322896281801,
      "eval_loss": 1.1917099952697754,
      "eval_mcc": 0.3306542824781416,
      "eval_runtime": 2.7099,
      "eval_samples_per_second": 603.332,
      "eval_steps_per_second": 75.647,
      "step": 5895
    },
    {
      "epoch": 5.089058524173028,
      "grad_norm": 18.63119125366211,
      "learning_rate": 7.455470737913486e-06,
      "loss": 0.3092,
      "step": 6000
    },
    {
      "epoch": 5.51314673452078,
      "grad_norm": 19.191608428955078,
      "learning_rate": 7.2434266327396106e-06,
      "loss": 0.2618,
      "step": 6500
    },
    {
      "epoch": 5.937234944868533,
      "grad_norm": 2.243471145629883,
      "learning_rate": 7.031382527565734e-06,
      "loss": 0.2755,
      "step": 7000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.6764525771141052,
      "eval_f1": 0.7428293631502187,
      "eval_loss": 1.446665644645691,
      "eval_mcc": 0.3074619968336629,
      "eval_runtime": 2.7032,
      "eval_samples_per_second": 604.829,
      "eval_steps_per_second": 75.835,
      "step": 7074
    },
    {
      "epoch": 6.361323155216285,
      "grad_norm": 37.863040924072266,
      "learning_rate": 6.819338422391858e-06,
      "loss": 0.2147,
      "step": 7500
    },
    {
      "epoch": 6.785411365564038,
      "grad_norm": 12.277471542358398,
      "learning_rate": 6.607294317217981e-06,
      "loss": 0.2273,
      "step": 8000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.6709480285644531,
      "eval_f1": 0.7307307307307307,
      "eval_loss": 1.8949030637741089,
      "eval_mcc": 0.31265280298270903,
      "eval_runtime": 2.7263,
      "eval_samples_per_second": 599.708,
      "eval_steps_per_second": 75.193,
      "step": 8253
    },
    {
      "epoch": 7.0,
      "step": 8253,
      "total_flos": 3893201765612544.0,
      "train_loss": 0.43125597612793976,
      "train_runtime": 554.1638,
      "train_samples_per_second": 340.224,
      "train_steps_per_second": 42.551
    }
  ],
  "logging_steps": 500,
  "max_steps": 23580,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 20,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 3,
        "early_stopping_threshold": 0.001
      },
      "attributes": {
        "early_stopping_patience_counter": 0
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 3893201765612544.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}