Hugging Face's logo

xuancoblab2023
/
tiny-bert-sst2-distilled

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
tiny-bert-sst2-distilled
File size: 1,706 Bytes 
c0f663f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.6666666666666666,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-160",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 320,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.8234807848930359,
      "learning_rate": 6.749457389390413e-05,
      "loss": 0.0587,
      "step": 160
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6666666666666666,
      "eval_f1": 0.0,
      "eval_loss": 0.0437474325299263,
      "eval_mcc": 0.0,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 1.868,
      "eval_samples_per_second": 682.566,
      "eval_steps_per_second": 21.414,
      "step": 160
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.42042386531829834,
      "learning_rate": 3.374728694695207e-05,
      "loss": 0.0451,
      "step": 320
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6650980392156862,
      "eval_f1": 0.04044943820224719,
      "eval_loss": 0.042260926216840744,
      "eval_mcc": 0.031242528987421626,
      "eval_precision": 0.45,
      "eval_recall": 0.021176470588235293,
      "eval_runtime": 1.9237,
      "eval_samples_per_second": 662.79,
      "eval_steps_per_second": 20.793,
      "step": 320
    }
  ],
  "logging_steps": 500,
  "max_steps": 480,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 583510875840.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.04540173695128236,
    "learning_rate": 0.00010124186084085621,
    "num_train_epochs": 3,
    "temperature": 16
  }
}