File size: 1,364 Bytes
ac6d680
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.8086436909394108,
  "best_model_checkpoint": "tinybert-TG-HS-HX-parentpretrained\\run-3\\checkpoint-394",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 394,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 4.53412212955664e-05,
      "loss": 0.2002,
      "step": 197
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.796692607003891,
      "eval_loss": 0.19448761641979218,
      "eval_runtime": 125.5379,
      "eval_samples_per_second": 57.321,
      "eval_steps_per_second": 0.454,
      "step": 197
    },
    {
      "epoch": 2.0,
      "learning_rate": 3.778435107963867e-05,
      "loss": 0.1946,
      "step": 394
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8086436909394108,
      "eval_loss": 0.19145084917545319,
      "eval_runtime": 125.3349,
      "eval_samples_per_second": 57.414,
      "eval_steps_per_second": 0.455,
      "step": 394
    }
  ],
  "logging_steps": 500,
  "max_steps": 1379,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "save_steps": 500,
  "total_flos": 88890104312136.0,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.3140746400350408,
    "learning_rate": 5.2898091511494136e-05,
    "num_train_epochs": 7,
    "temperature": 24
  }
}