Hugging Face's logo

fats-fme
/
62e8d22f-0c7c-426d-aa67-4b20b4d9c2ba

PEFT
Safetensors
mistral
axolotl
Generated from Trainer
8-bit precision
bitsandbytes
Model card Files Community
62e8d22f-0c7c-426d-aa67-4b20b4d9c2ba
File size: 2,954 Bytes 
1885e66
 
 
266f0db
1885e66
266f0db
1885e66
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a0f5b2c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
af19122
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
266f0db
 
 
 
 
 
 
1885e66
 
 
 
 
 
 
 
 
 
 
 
 
 
266f0db
1885e66
 
 
 
266f0db
1885e66
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.01824817518248175,
  "eval_steps": 3,
  "global_step": 10,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0018248175182481751,
      "grad_norm": NaN,
      "learning_rate": 2e-05,
      "loss": 0.0,
      "step": 1
    },
    {
      "epoch": 0.0018248175182481751,
      "eval_loss": NaN,
      "eval_runtime": 111.6566,
      "eval_samples_per_second": 4.138,
      "eval_steps_per_second": 1.039,
      "step": 1
    },
    {
      "epoch": 0.0036496350364963502,
      "grad_norm": NaN,
      "learning_rate": 4e-05,
      "loss": 0.0,
      "step": 2
    },
    {
      "epoch": 0.005474452554744526,
      "grad_norm": NaN,
      "learning_rate": 6e-05,
      "loss": 0.0,
      "step": 3
    },
    {
      "epoch": 0.005474452554744526,
      "eval_loss": NaN,
      "eval_runtime": 111.5917,
      "eval_samples_per_second": 4.14,
      "eval_steps_per_second": 1.04,
      "step": 3
    },
    {
      "epoch": 0.0072992700729927005,
      "grad_norm": NaN,
      "learning_rate": 8e-05,
      "loss": 0.0,
      "step": 4
    },
    {
      "epoch": 0.009124087591240875,
      "grad_norm": NaN,
      "learning_rate": 0.0001,
      "loss": 0.0,
      "step": 5
    },
    {
      "epoch": 0.010948905109489052,
      "grad_norm": NaN,
      "learning_rate": 0.00012,
      "loss": 0.0,
      "step": 6
    },
    {
      "epoch": 0.010948905109489052,
      "eval_loss": NaN,
      "eval_runtime": 111.5362,
      "eval_samples_per_second": 4.142,
      "eval_steps_per_second": 1.04,
      "step": 6
    },
    {
      "epoch": 0.012773722627737226,
      "grad_norm": NaN,
      "learning_rate": 0.00014,
      "loss": 0.0,
      "step": 7
    },
    {
      "epoch": 0.014598540145985401,
      "grad_norm": NaN,
      "learning_rate": 0.00016,
      "loss": 0.0,
      "step": 8
    },
    {
      "epoch": 0.016423357664233577,
      "grad_norm": NaN,
      "learning_rate": 0.00018,
      "loss": 0.0,
      "step": 9
    },
    {
      "epoch": 0.016423357664233577,
      "eval_loss": NaN,
      "eval_runtime": 111.6503,
      "eval_samples_per_second": 4.138,
      "eval_steps_per_second": 1.039,
      "step": 9
    },
    {
      "epoch": 0.01824817518248175,
      "grad_norm": NaN,
      "learning_rate": 0.0002,
      "loss": 0.0,
      "step": 10
    }
  ],
  "logging_steps": 1,
  "max_steps": 10,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 3,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 2.812521215950848e+16,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}