Hugging Face's logo

Minbyul
/
meditron-7b-wo-kqa_golden-iter-sft-step1

Text Generation
Transformers
Safetensors
llama
alignment-handbook
trl
sft
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
meditron-7b-wo-kqa_golden-iter-sft-step1
File size: 3,204 Bytes 
fd9db95
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.961038961038961,
  "eval_steps": 500,
  "global_step": 57,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.05,
      "grad_norm": 1.4391919003064584,
      "learning_rate": 3.3333333333333333e-06,
      "loss": 2.7465,
      "step": 1
    },
    {
      "epoch": 0.26,
      "grad_norm": 1.01878785429204,
      "learning_rate": 1.6666666666666667e-05,
      "loss": 2.3521,
      "step": 5
    },
    {
      "epoch": 0.52,
      "grad_norm": 0.7432627531351906,
      "learning_rate": 1.9697969360350098e-05,
      "loss": 2.3746,
      "step": 10
    },
    {
      "epoch": 0.78,
      "grad_norm": 0.6306502028658637,
      "learning_rate": 1.8502171357296144e-05,
      "loss": 2.2849,
      "step": 15
    },
    {
      "epoch": 0.99,
      "eval_loss": 1.2240214347839355,
      "eval_runtime": 38.055,
      "eval_samples_per_second": 9.618,
      "eval_steps_per_second": 0.604,
      "step": 19
    },
    {
      "epoch": 1.04,
      "grad_norm": 0.8323697335437488,
      "learning_rate": 1.650618300204242e-05,
      "loss": 2.41,
      "step": 20
    },
    {
      "epoch": 1.3,
      "grad_norm": 0.8356330876376933,
      "learning_rate": 1.3897858732926794e-05,
      "loss": 2.078,
      "step": 25
    },
    {
      "epoch": 1.56,
      "grad_norm": 0.8229304096804662,
      "learning_rate": 1.092268359463302e-05,
      "loss": 2.0295,
      "step": 30
    },
    {
      "epoch": 1.82,
      "grad_norm": 0.6758717282694323,
      "learning_rate": 7.860669167935028e-06,
      "loss": 1.9826,
      "step": 35
    },
    {
      "epoch": 1.97,
      "eval_loss": 1.252795934677124,
      "eval_runtime": 38.2606,
      "eval_samples_per_second": 9.566,
      "eval_steps_per_second": 0.601,
      "step": 38
    },
    {
      "epoch": 2.08,
      "grad_norm": 1.0361066126350802,
      "learning_rate": 5.000000000000003e-06,
      "loss": 1.9803,
      "step": 40
    },
    {
      "epoch": 2.34,
      "grad_norm": 0.9815477883010376,
      "learning_rate": 2.6099108277934105e-06,
      "loss": 1.8108,
      "step": 45
    },
    {
      "epoch": 2.6,
      "grad_norm": 0.894384535047576,
      "learning_rate": 9.153472818047627e-07,
      "loss": 1.8236,
      "step": 50
    },
    {
      "epoch": 2.86,
      "grad_norm": 0.8145920730047358,
      "learning_rate": 7.579490328064265e-08,
      "loss": 1.7301,
      "step": 55
    },
    {
      "epoch": 2.96,
      "eval_loss": 1.304147720336914,
      "eval_runtime": 38.5373,
      "eval_samples_per_second": 9.497,
      "eval_steps_per_second": 0.597,
      "step": 57
    },
    {
      "epoch": 2.96,
      "step": 57,
      "total_flos": 11882295459840.0,
      "train_loss": 2.079949947825649,
      "train_runtime": 1266.1143,
      "train_samples_per_second": 2.912,
      "train_steps_per_second": 0.045
    }
  ],
  "logging_steps": 5,
  "max_steps": 57,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 11882295459840.0,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}