Hugging Face's logo

jssky
/
dc30de7c-2793-4874-b82e-a67649e261a5

PEFT
Safetensors
mistral
axolotl
Generated from Trainer
Model card Files Community
dc30de7c-2793-4874-b82e-a67649e261a5
File size: 3,126 Bytes 
805f619
 
 
19cd0d3
805f619
19cd0d3
805f619
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
840d564
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b7c5fb3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19cd0d3
 
 
 
 
 
 
805f619
 
 
 
 
 
 
 
 
 
 
 
 
 
19cd0d3
805f619
 
 
 
19cd0d3
805f619
 
 
 
 
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": 0.0035382574082264487,
  "eval_steps": 3,
  "global_step": 10,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.00035382574082264487,
      "grad_norm": NaN,
      "learning_rate": 0.0,
      "loss": 14.8697,
      "step": 1
    },
    {
      "epoch": 0.00035382574082264487,
      "eval_loss": 3.9243927001953125,
      "eval_runtime": 117.1959,
      "eval_samples_per_second": 5.077,
      "eval_steps_per_second": 5.077,
      "step": 1
    },
    {
      "epoch": 0.0007076514816452897,
      "grad_norm": NaN,
      "learning_rate": 0.0,
      "loss": 17.5113,
      "step": 2
    },
    {
      "epoch": 0.0010614772224679346,
      "grad_norm": NaN,
      "learning_rate": 0.0,
      "loss": 18.748,
      "step": 3
    },
    {
      "epoch": 0.0010614772224679346,
      "eval_loss": 3.9243927001953125,
      "eval_runtime": 117.0949,
      "eval_samples_per_second": 5.081,
      "eval_steps_per_second": 5.081,
      "step": 3
    },
    {
      "epoch": 0.0014153029632905795,
      "grad_norm": NaN,
      "learning_rate": 0.0,
      "loss": 16.9349,
      "step": 4
    },
    {
      "epoch": 0.0017691287041132243,
      "grad_norm": 95.18614196777344,
      "learning_rate": 2e-05,
      "loss": 15.3692,
      "step": 5
    },
    {
      "epoch": 0.002122954444935869,
      "grad_norm": 110.96968841552734,
      "learning_rate": 4e-05,
      "loss": 15.6412,
      "step": 6
    },
    {
      "epoch": 0.002122954444935869,
      "eval_loss": 3.736077308654785,
      "eval_runtime": 116.5658,
      "eval_samples_per_second": 5.104,
      "eval_steps_per_second": 5.104,
      "step": 6
    },
    {
      "epoch": 0.002476780185758514,
      "grad_norm": 87.67485046386719,
      "learning_rate": 6e-05,
      "loss": 12.3813,
      "step": 7
    },
    {
      "epoch": 0.002830605926581159,
      "grad_norm": 123.6387939453125,
      "learning_rate": 8e-05,
      "loss": 17.1364,
      "step": 8
    },
    {
      "epoch": 0.003184431667403804,
      "grad_norm": 77.38605499267578,
      "learning_rate": 0.0001,
      "loss": 11.6124,
      "step": 9
    },
    {
      "epoch": 0.003184431667403804,
      "eval_loss": 2.0625381469726562,
      "eval_runtime": 116.5884,
      "eval_samples_per_second": 5.103,
      "eval_steps_per_second": 5.103,
      "step": 9
    },
    {
      "epoch": 0.0035382574082264487,
      "grad_norm": 60.3310546875,
      "learning_rate": 0.00012,
      "loss": 7.6766,
      "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": 7034387363266560.0,
  "train_batch_size": 1,
  "trial_name": null,
  "trial_params": null
}