Hugging Face's logo

tuantmdev
/
ef4bc250-47fb-42e2-b3cb-78e33e14928a

PEFT
Safetensors
llama
axolotl
Generated from Trainer
custom_code
Model card Files Community
ef4bc250-47fb-42e2-b3cb-78e33e14928a
File size: 2,891 Bytes 
857e339
 
 
e518a89
857e339
e518a89
857e339
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5df1641
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7dae0e1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a30178a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e518a89
 
 
 
 
 
 
 
 
 
 
 
 
 
 
857e339
 
 
 
 
 
 
 
 
 
 
 
 
 
e518a89
857e339
 
 
 
e518a89
857e339
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.02191825859435468,
  "eval_steps": 40,
  "global_step": 200,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.00010959129297177339,
      "eval_loss": 2.110013484954834,
      "eval_runtime": 1004.5967,
      "eval_samples_per_second": 15.299,
      "eval_steps_per_second": 7.65,
      "step": 1
    },
    {
      "epoch": 0.0043836517188709356,
      "grad_norm": 14.075608253479004,
      "learning_rate": 1e-05,
      "loss": 33.3493,
      "step": 40
    },
    {
      "epoch": 0.0043836517188709356,
      "eval_loss": 2.0665688514709473,
      "eval_runtime": 1003.137,
      "eval_samples_per_second": 15.321,
      "eval_steps_per_second": 7.661,
      "step": 40
    },
    {
      "epoch": 0.008767303437741871,
      "grad_norm": 13.712140083312988,
      "learning_rate": 2e-05,
      "loss": 30.9777,
      "step": 80
    },
    {
      "epoch": 0.008767303437741871,
      "eval_loss": 1.836449384689331,
      "eval_runtime": 1003.1953,
      "eval_samples_per_second": 15.32,
      "eval_steps_per_second": 7.661,
      "step": 80
    },
    {
      "epoch": 0.013150955156612807,
      "grad_norm": 16.177526473999023,
      "learning_rate": 1.5000000000000002e-05,
      "loss": 28.7871,
      "step": 120
    },
    {
      "epoch": 0.013150955156612807,
      "eval_loss": 1.7560031414031982,
      "eval_runtime": 1003.96,
      "eval_samples_per_second": 15.308,
      "eval_steps_per_second": 7.655,
      "step": 120
    },
    {
      "epoch": 0.017534606875483742,
      "grad_norm": 16.116289138793945,
      "learning_rate": 5.000000000000003e-06,
      "loss": 28.0053,
      "step": 160
    },
    {
      "epoch": 0.017534606875483742,
      "eval_loss": 1.7280950546264648,
      "eval_runtime": 1003.515,
      "eval_samples_per_second": 15.315,
      "eval_steps_per_second": 7.658,
      "step": 160
    },
    {
      "epoch": 0.02191825859435468,
      "grad_norm": 17.095829010009766,
      "learning_rate": 0.0,
      "loss": 27.6745,
      "step": 200
    },
    {
      "epoch": 0.02191825859435468,
      "eval_loss": 1.7235428094863892,
      "eval_runtime": 1005.4389,
      "eval_samples_per_second": 15.286,
      "eval_steps_per_second": 7.643,
      "step": 200
    }
  ],
  "logging_steps": 40,
  "max_steps": 200,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 40,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.302986508730368e+17,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}