Hugging Face's logo

dimasik1987
/
c85ed2c5-8125-4c89-a8e8-42c437c8baf5

PEFT
Safetensors
llama
axolotl
Generated from Trainer
custom_code
Model card Files Community
c85ed2c5-8125-4c89-a8e8-42c437c8baf5
File size: 4,200 Bytes 
25204d4
ec9930f
 
 
25204d4
ec9930f
25204d4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e8a97a1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ec9930f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
25204d4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ec9930f
25204d4
 
 
 
ec9930f
25204d4
 
 
 
 
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
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
 
{
  "best_metric": 0.49480313062667847,
  "best_model_checkpoint": "miner_id_24/checkpoint-30",
  "epoch": 0.11650485436893204,
  "eval_steps": 5,
  "global_step": 30,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.003883495145631068,
      "eval_loss": 1.0708863735198975,
      "eval_runtime": 36.8376,
      "eval_samples_per_second": 5.891,
      "eval_steps_per_second": 1.493,
      "step": 1
    },
    {
      "epoch": 0.011650485436893204,
      "grad_norm": 0.9972766041755676,
      "learning_rate": 0.00012,
      "loss": 2.9957,
      "step": 3
    },
    {
      "epoch": 0.019417475728155338,
      "eval_loss": 0.950129508972168,
      "eval_runtime": 37.5993,
      "eval_samples_per_second": 5.771,
      "eval_steps_per_second": 1.463,
      "step": 5
    },
    {
      "epoch": 0.02330097087378641,
      "grad_norm": 0.9317790269851685,
      "learning_rate": 0.0001992114701314478,
      "loss": 3.0089,
      "step": 6
    },
    {
      "epoch": 0.03495145631067961,
      "grad_norm": 1.0619981288909912,
      "learning_rate": 0.00018763066800438636,
      "loss": 2.5937,
      "step": 9
    },
    {
      "epoch": 0.038834951456310676,
      "eval_loss": 0.6780943870544434,
      "eval_runtime": 37.7566,
      "eval_samples_per_second": 5.747,
      "eval_steps_per_second": 1.457,
      "step": 10
    },
    {
      "epoch": 0.04660194174757282,
      "grad_norm": 3.01274037361145,
      "learning_rate": 0.000163742398974869,
      "loss": 2.4687,
      "step": 12
    },
    {
      "epoch": 0.05825242718446602,
      "grad_norm": 1.2839837074279785,
      "learning_rate": 0.00013090169943749476,
      "loss": 2.2457,
      "step": 15
    },
    {
      "epoch": 0.05825242718446602,
      "eval_loss": 0.5668467283248901,
      "eval_runtime": 37.7843,
      "eval_samples_per_second": 5.743,
      "eval_steps_per_second": 1.456,
      "step": 15
    },
    {
      "epoch": 0.06990291262135923,
      "grad_norm": 1.24266517162323,
      "learning_rate": 9.372094804706867e-05,
      "loss": 2.3707,
      "step": 18
    },
    {
      "epoch": 0.07766990291262135,
      "eval_loss": 0.5173833966255188,
      "eval_runtime": 37.7177,
      "eval_samples_per_second": 5.753,
      "eval_steps_per_second": 1.458,
      "step": 20
    },
    {
      "epoch": 0.08155339805825243,
      "grad_norm": 0.9959689378738403,
      "learning_rate": 5.7422070843492734e-05,
      "loss": 1.8811,
      "step": 21
    },
    {
      "epoch": 0.09320388349514563,
      "grad_norm": 0.9961031675338745,
      "learning_rate": 2.7103137257858868e-05,
      "loss": 2.0414,
      "step": 24
    },
    {
      "epoch": 0.0970873786407767,
      "eval_loss": 0.4978864789009094,
      "eval_runtime": 37.7461,
      "eval_samples_per_second": 5.749,
      "eval_steps_per_second": 1.457,
      "step": 25
    },
    {
      "epoch": 0.10485436893203884,
      "grad_norm": 1.0980758666992188,
      "learning_rate": 7.022351411174866e-06,
      "loss": 2.0524,
      "step": 27
    },
    {
      "epoch": 0.11650485436893204,
      "grad_norm": 1.2487680912017822,
      "learning_rate": 0.0,
      "loss": 1.8476,
      "step": 30
    },
    {
      "epoch": 0.11650485436893204,
      "eval_loss": 0.49480313062667847,
      "eval_runtime": 37.7726,
      "eval_samples_per_second": 5.745,
      "eval_steps_per_second": 1.456,
      "step": 30
    }
  ],
  "logging_steps": 3,
  "max_steps": 30,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 10,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 1,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 0
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 3.80869797740544e+16,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}