Hugging Face's logo

Euanyu
/
Bioformer8L_caption_reference

Safetensors
bert
Model card Files Community
Bioformer8L_caption_reference
File size: 2,426 Bytes 
563610c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.17856432497501373,
  "best_model_checkpoint": "bioformer8L_caption_reference_RTX6000/checkpoint-1230",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 2460,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.4065040650406504,
      "grad_norm": 8.241156578063965,
      "learning_rate": 2.75609756097561e-05,
      "loss": 0.2277,
      "step": 500
    },
    {
      "epoch": 0.8130081300813008,
      "grad_norm": 2.205291986465454,
      "learning_rate": 2.5121951219512197e-05,
      "loss": 0.177,
      "step": 1000
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9276147633166343,
      "eval_f1": 0.9222332155896071,
      "eval_f1_medical": 0.9426906265177271,
      "eval_f1_non_medical": 0.9017758046614872,
      "eval_loss": 0.17856432497501373,
      "eval_precision": 0.9277090451077986,
      "eval_recall": 0.9177374028102576,
      "eval_runtime": 37.413,
      "eval_samples_per_second": 261.433,
      "eval_steps_per_second": 8.179,
      "step": 1230
    },
    {
      "epoch": 1.2195121951219512,
      "grad_norm": 3.5154032707214355,
      "learning_rate": 2.2682926829268295e-05,
      "loss": 0.1466,
      "step": 1500
    },
    {
      "epoch": 1.6260162601626016,
      "grad_norm": 3.8458199501037598,
      "learning_rate": 2.024390243902439e-05,
      "loss": 0.1232,
      "step": 2000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.929352826909314,
      "eval_f1": 0.9248187483559904,
      "eval_f1_medical": 0.9432816219322006,
      "eval_f1_non_medical": 0.9063558747797804,
      "eval_loss": 0.20747286081314087,
      "eval_precision": 0.9255804539078865,
      "eval_recall": 0.9240820913256004,
      "eval_runtime": 37.4622,
      "eval_samples_per_second": 261.09,
      "eval_steps_per_second": 8.168,
      "step": 2460
    }
  ],
  "logging_steps": 500,
  "max_steps": 6150,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 6162603809728128.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}