Hugging Face's logo

Andyrasika
/
mistral-viggo-finetune

Transformers
Safetensors
PEFT
transformers
qlora
Inference Endpoints
Model card Files Community
1
mistral-viggo-finetune
File size: 3,031 Bytes 
08c9e8c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.6269592476489029,
  "eval_steps": 50,
  "global_step": 400,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.08,
      "learning_rate": 2.3869346733668342e-05,
      "loss": 0.7797,
      "step": 50
    },
    {
      "epoch": 0.08,
      "eval_loss": 0.2723180055618286,
      "eval_runtime": 135.6616,
      "eval_samples_per_second": 5.263,
      "eval_steps_per_second": 0.663,
      "step": 50
    },
    {
      "epoch": 0.16,
      "learning_rate": 2.2613065326633167e-05,
      "loss": 0.2457,
      "step": 100
    },
    {
      "epoch": 0.16,
      "eval_loss": 0.22004182636737823,
      "eval_runtime": 136.2348,
      "eval_samples_per_second": 5.241,
      "eval_steps_per_second": 0.661,
      "step": 100
    },
    {
      "epoch": 0.24,
      "learning_rate": 2.135678391959799e-05,
      "loss": 0.2088,
      "step": 150
    },
    {
      "epoch": 0.24,
      "eval_loss": 0.19266444444656372,
      "eval_runtime": 136.6465,
      "eval_samples_per_second": 5.225,
      "eval_steps_per_second": 0.659,
      "step": 150
    },
    {
      "epoch": 0.31,
      "learning_rate": 2.0100502512562815e-05,
      "loss": 0.1832,
      "step": 200
    },
    {
      "epoch": 0.31,
      "eval_loss": 0.17922177910804749,
      "eval_runtime": 136.7121,
      "eval_samples_per_second": 5.223,
      "eval_steps_per_second": 0.658,
      "step": 200
    },
    {
      "epoch": 0.39,
      "learning_rate": 1.884422110552764e-05,
      "loss": 0.1754,
      "step": 250
    },
    {
      "epoch": 0.39,
      "eval_loss": 0.17311859130859375,
      "eval_runtime": 136.3058,
      "eval_samples_per_second": 5.238,
      "eval_steps_per_second": 0.66,
      "step": 250
    },
    {
      "epoch": 0.47,
      "learning_rate": 1.7587939698492464e-05,
      "loss": 0.169,
      "step": 300
    },
    {
      "epoch": 0.47,
      "eval_loss": 0.16897280514240265,
      "eval_runtime": 136.923,
      "eval_samples_per_second": 5.215,
      "eval_steps_per_second": 0.657,
      "step": 300
    },
    {
      "epoch": 0.55,
      "learning_rate": 1.6331658291457288e-05,
      "loss": 0.166,
      "step": 350
    },
    {
      "epoch": 0.55,
      "eval_loss": 0.1663457602262497,
      "eval_runtime": 136.6033,
      "eval_samples_per_second": 5.227,
      "eval_steps_per_second": 0.659,
      "step": 350
    },
    {
      "epoch": 0.63,
      "learning_rate": 1.507537688442211e-05,
      "loss": 0.1682,
      "step": 400
    },
    {
      "epoch": 0.63,
      "eval_loss": 0.16482460498809814,
      "eval_runtime": 136.5801,
      "eval_samples_per_second": 5.228,
      "eval_steps_per_second": 0.659,
      "step": 400
    }
  ],
  "logging_steps": 50,
  "max_steps": 1000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 50,
  "total_flos": 7.01096301428736e+16,
  "trial_name": null,
  "trial_params": null
}