File size: 1,670 Bytes
674ef3e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.5097847358121331,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-5/checkpoint-308",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 308,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.6735444664955139,
      "learning_rate": 1.0944822590536588e-05,
      "loss": 0.1064,
      "step": 154
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5,
      "eval_f1": 0.0,
      "eval_loss": 0.04401332512497902,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 28.8317,
      "eval_samples_per_second": 35.447,
      "eval_steps_per_second": 1.11,
      "step": 154
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.7938733696937561,
      "learning_rate": 9.728731191588077e-06,
      "loss": 0.0382,
      "step": 308
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5097847358121331,
      "eval_f1": 0.05649717514124293,
      "eval_loss": 0.02585103176534176,
      "eval_precision": 0.75,
      "eval_recall": 0.029354207436399216,
      "eval_runtime": 29.1621,
      "eval_samples_per_second": 35.046,
      "eval_steps_per_second": 1.097,
      "step": 308
    }
  ],
  "logging_steps": 500,
  "max_steps": 1540,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 471390394560.0,
  "train_batch_size": 20,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.007207939952405096,
    "learning_rate": 1.2160913989485096e-05,
    "num_train_epochs": 10,
    "per_device_train_batch_size": 20,
    "temperature": 25
  }
}