Hugging Face's logo

mllm-dev
/
gpt2_f_experiment_3_drug_data

Text Classification
Transformers
Safetensors
gpt2
text-generation-inference
Inference Endpoints
Model card Files Community
gpt2_f_experiment_3_drug_data
File size: 2,850 Bytes 
d369988
772a1bc
 
 
d369988
772a1bc
d369988
 
 
 
 
 
772a1bc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
48b72d4
772a1bc
 
 
 
 
d369988
 
 
772a1bc
d369988
772a1bc
d369988
772a1bc
 
d369988
 
 
 
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
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
 
{
  "best_metric": 1.4213874340057373,
  "best_model_checkpoint": "tam_test_out_drug_data/checkpoint-1011",
  "epoch": 7.0,
  "eval_steps": 500,
  "global_step": 2359,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.46219659629870735,
      "eval_loss": 1.4630001783370972,
      "eval_runtime": 15.2997,
      "eval_samples_per_second": 702.823,
      "eval_steps_per_second": 7.386,
      "step": 337
    },
    {
      "epoch": 1.48,
      "grad_norm": 283691.34375,
      "learning_rate": 5.554896142433234e-05,
      "loss": 1.599,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.4721473077280759,
      "eval_loss": 1.443649411201477,
      "eval_runtime": 15.1007,
      "eval_samples_per_second": 712.086,
      "eval_steps_per_second": 7.483,
      "step": 674
    },
    {
      "epoch": 2.97,
      "grad_norm": 246200.171875,
      "learning_rate": 5.109792284866469e-05,
      "loss": 1.3511,
      "step": 1000
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.471310332000372,
      "eval_loss": 1.4213874340057373,
      "eval_runtime": 14.9491,
      "eval_samples_per_second": 719.309,
      "eval_steps_per_second": 7.559,
      "step": 1011
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.45615177159862363,
      "eval_loss": 1.5083941221237183,
      "eval_runtime": 15.0793,
      "eval_samples_per_second": 713.097,
      "eval_steps_per_second": 7.494,
      "step": 1348
    },
    {
      "epoch": 4.45,
      "grad_norm": 280970.59375,
      "learning_rate": 4.664688427299703e-05,
      "loss": 1.1818,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.461173625964847,
      "eval_loss": 1.5575577020645142,
      "eval_runtime": 15.1913,
      "eval_samples_per_second": 707.84,
      "eval_steps_per_second": 7.438,
      "step": 1685
    },
    {
      "epoch": 5.93,
      "grad_norm": 403212.34375,
      "learning_rate": 4.219584569732938e-05,
      "loss": 1.0233,
      "step": 2000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.46907839672649493,
      "eval_loss": 1.6354960203170776,
      "eval_runtime": 15.1613,
      "eval_samples_per_second": 709.238,
      "eval_steps_per_second": 7.453,
      "step": 2022
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.4567097554170929,
      "eval_loss": 1.7575633525848389,
      "eval_runtime": 15.399,
      "eval_samples_per_second": 698.293,
      "eval_steps_per_second": 7.338,
      "step": 2359
    }
  ],
  "logging_steps": 500,
  "max_steps": 6740,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 20,
  "save_steps": 500,
  "total_flos": 3.08983856643072e+16,
  "train_batch_size": 96,
  "trial_name": null,
  "trial_params": null
}