File size: 1,685 Bytes
66540f1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.700587084148728,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-16/checkpoint-48",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 96,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.2878928184509277,
      "learning_rate": 0.00013115653902338105,
      "loss": 0.4962,
      "step": 48
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.700587084148728,
      "eval_f1": 0.662251655629139,
      "eval_loss": 0.4426267147064209,
      "eval_precision": 0.759493670886076,
      "eval_recall": 0.5870841487279843,
      "eval_runtime": 27.3,
      "eval_samples_per_second": 37.436,
      "eval_steps_per_second": 0.586,
      "step": 48
    },
    {
      "epoch": 2.0,
      "grad_norm": 3.258302688598633,
      "learning_rate": 0.00011241989059146946,
      "loss": 0.4374,
      "step": 96
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6898238747553816,
      "eval_f1": 0.6248520710059171,
      "eval_loss": 0.41270217299461365,
      "eval_precision": 0.7904191616766467,
      "eval_recall": 0.5166340508806262,
      "eval_runtime": 27.1797,
      "eval_samples_per_second": 37.602,
      "eval_steps_per_second": 0.589,
      "step": 96
    }
  ],
  "logging_steps": 500,
  "max_steps": 384,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 8,
  "save_steps": 500,
  "total_flos": 471390394560.0,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.6758158495370239,
    "learning_rate": 0.00014989318745529262,
    "num_train_epochs": 8,
    "temperature": 20
  }
}