Hugging Face's logo

nlparabic
/
test-aragpt

Text Generation
Transformers
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
test-aragpt
File size: 2,552 Bytes 
2cb5f96
 
 
c5f2c1c
2cb5f96
c5f2c1c
2cb5f96
 
 
 
9877acb
c5f2c1c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2cb5f96
 
 
c5f2c1c
2cb5f96
c5f2c1c
2cb5f96
 
 
 
 
 
 
 
 
 
 
 
 
c5f2c1c
2cb5f96
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 15.0,
  "eval_steps": 500,
  "global_step": 4785,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.567398119122257,
      "grad_norm": 1.1618669033050537,
      "learning_rate": 4.4775339602925815e-05,
      "loss": 3.4578,
      "step": 500
    },
    {
      "epoch": 3.134796238244514,
      "grad_norm": 1.134594440460205,
      "learning_rate": 3.955067920585162e-05,
      "loss": 2.7316,
      "step": 1000
    },
    {
      "epoch": 4.702194357366771,
      "grad_norm": 1.16652250289917,
      "learning_rate": 3.4326018808777435e-05,
      "loss": 2.4393,
      "step": 1500
    },
    {
      "epoch": 6.269592476489028,
      "grad_norm": 1.1664645671844482,
      "learning_rate": 2.9101358411703238e-05,
      "loss": 2.2559,
      "step": 2000
    },
    {
      "epoch": 7.836990595611285,
      "grad_norm": 1.1747838258743286,
      "learning_rate": 2.387669801462905e-05,
      "loss": 2.127,
      "step": 2500
    },
    {
      "epoch": 9.404388714733543,
      "grad_norm": 1.2233911752700806,
      "learning_rate": 1.865203761755486e-05,
      "loss": 2.0242,
      "step": 3000
    },
    {
      "epoch": 10.971786833855798,
      "grad_norm": 1.149554967880249,
      "learning_rate": 1.3427377220480669e-05,
      "loss": 1.9585,
      "step": 3500
    },
    {
      "epoch": 12.539184952978056,
      "grad_norm": 1.1873332262039185,
      "learning_rate": 8.202716823406478e-06,
      "loss": 1.9004,
      "step": 4000
    },
    {
      "epoch": 14.106583072100314,
      "grad_norm": 1.1350129842758179,
      "learning_rate": 2.9780564263322885e-06,
      "loss": 1.8692,
      "step": 4500
    },
    {
      "epoch": 15.0,
      "step": 4785,
      "total_flos": 1.500338847744e+16,
      "train_loss": 2.280068150184496,
      "train_runtime": 1782.6608,
      "train_samples_per_second": 21.474,
      "train_steps_per_second": 2.684
    }
  ],
  "logging_steps": 500,
  "max_steps": 4785,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 15,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.500338847744e+16,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}