File size: 5,074 Bytes
9fd932d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.871670061638581,
  "best_model_checkpoint": "./nlu_finetuned_models/mrpc/roberta-large_lr1e-05/checkpoint-1242",
  "epoch": 10.0,
  "eval_steps": 500,
  "global_step": 2070,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8065395095367848,
      "eval_averaged_scores": 0.8346043775923768,
      "eval_f1": 0.862669245647969,
      "eval_loss": 0.4804929494857788,
      "eval_runtime": 0.6868,
      "eval_samples_per_second": 534.344,
      "eval_steps_per_second": 33.487,
      "step": 207
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8283378746594006,
      "eval_averaged_scores": 0.8539394918230081,
      "eval_f1": 0.8795411089866156,
      "eval_loss": 0.37118858098983765,
      "eval_runtime": 0.6817,
      "eval_samples_per_second": 538.397,
      "eval_steps_per_second": 33.742,
      "step": 414
    },
    {
      "epoch": 2.4154589371980677,
      "grad_norm": 4.831421375274658,
      "learning_rate": 8.071979434447301e-06,
      "loss": 0.4647,
      "step": 500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8419618528610354,
      "eval_averaged_scores": 0.8641181813324785,
      "eval_f1": 0.8862745098039215,
      "eval_loss": 0.48132672905921936,
      "eval_runtime": 0.6832,
      "eval_samples_per_second": 537.177,
      "eval_steps_per_second": 33.665,
      "step": 621
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8119891008174387,
      "eval_averaged_scores": 0.8351526612916762,
      "eval_f1": 0.8583162217659138,
      "eval_loss": 0.8502127528190613,
      "eval_runtime": 0.6878,
      "eval_samples_per_second": 533.624,
      "eval_steps_per_second": 33.442,
      "step": 828
    },
    {
      "epoch": 4.830917874396135,
      "grad_norm": 0.43216827511787415,
      "learning_rate": 5.501285347043702e-06,
      "loss": 0.195,
      "step": 1000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8147138964577657,
      "eval_averaged_scores": 0.8340810861599173,
      "eval_f1": 0.853448275862069,
      "eval_loss": 0.8322831988334656,
      "eval_runtime": 0.6811,
      "eval_samples_per_second": 538.838,
      "eval_steps_per_second": 33.769,
      "step": 1035
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8501362397820164,
      "eval_averaged_scores": 0.871670061638581,
      "eval_f1": 0.8932038834951456,
      "eval_loss": 0.8657367825508118,
      "eval_runtime": 0.6818,
      "eval_samples_per_second": 538.266,
      "eval_steps_per_second": 33.733,
      "step": 1242
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8474114441416893,
      "eval_averaged_scores": 0.8688037612865309,
      "eval_f1": 0.8901960784313726,
      "eval_loss": 1.0117260217666626,
      "eval_runtime": 0.6848,
      "eval_samples_per_second": 535.935,
      "eval_steps_per_second": 33.587,
      "step": 1449
    },
    {
      "epoch": 7.246376811594203,
      "grad_norm": 68.54472351074219,
      "learning_rate": 2.9305912596401033e-06,
      "loss": 0.0681,
      "step": 1500
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8501362397820164,
      "eval_averaged_scores": 0.8703961517001533,
      "eval_f1": 0.8906560636182902,
      "eval_loss": 1.031515121459961,
      "eval_runtime": 0.6825,
      "eval_samples_per_second": 537.742,
      "eval_steps_per_second": 33.7,
      "step": 1656
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8474114441416893,
      "eval_averaged_scores": 0.868369753691398,
      "eval_f1": 0.8893280632411067,
      "eval_loss": 1.0883642435073853,
      "eval_runtime": 0.683,
      "eval_samples_per_second": 537.339,
      "eval_steps_per_second": 33.675,
      "step": 1863
    },
    {
      "epoch": 9.66183574879227,
      "grad_norm": 0.01603771187365055,
      "learning_rate": 3.598971722365039e-07,
      "loss": 0.0242,
      "step": 2000
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.8474114441416893,
      "eval_averaged_scores": 0.8692310138996384,
      "eval_f1": 0.8910505836575875,
      "eval_loss": 1.1239808797836304,
      "eval_runtime": 0.6749,
      "eval_samples_per_second": 543.751,
      "eval_steps_per_second": 34.077,
      "step": 2070
    },
    {
      "epoch": 10.0,
      "step": 2070,
      "total_flos": 4586336388558792.0,
      "train_loss": 0.18168080317009475,
      "train_runtime": 314.5545,
      "train_samples_per_second": 104.942,
      "train_steps_per_second": 6.581
    }
  ],
  "logging_steps": 500,
  "max_steps": 2070,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 4586336388558792.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}