Hugging Face's logo

0chanly
/
cai-consequentialist

Text Generation
PEFT
Safetensors
Transformers
lora
Model card Files
xet
Community
cai-consequentialist
File size: 2,803 Bytes 
d446ce1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 113,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.08888888888888889,
      "grad_norm": 1.3860198259353638,
      "learning_rate": 3.6e-05,
      "loss": 1.4089,
      "step": 10
    },
    {
      "epoch": 0.17777777777777778,
      "grad_norm": 1.945064663887024,
      "learning_rate": 7.6e-05,
      "loss": 1.2541,
      "step": 20
    },
    {
      "epoch": 0.26666666666666666,
      "grad_norm": 1.5190799236297607,
      "learning_rate": 0.000116,
      "loss": 1.0915,
      "step": 30
    },
    {
      "epoch": 0.35555555555555557,
      "grad_norm": 1.624822735786438,
      "learning_rate": 0.00015600000000000002,
      "loss": 1.1231,
      "step": 40
    },
    {
      "epoch": 0.4444444444444444,
      "grad_norm": 1.3709652423858643,
      "learning_rate": 0.000196,
      "loss": 1.0294,
      "step": 50
    },
    {
      "epoch": 0.5333333333333333,
      "grad_norm": 1.4600133895874023,
      "learning_rate": 0.00018977272727272728,
      "loss": 1.0663,
      "step": 60
    },
    {
      "epoch": 0.6222222222222222,
      "grad_norm": 1.397749662399292,
      "learning_rate": 0.00017840909090909092,
      "loss": 1.0412,
      "step": 70
    },
    {
      "epoch": 0.7111111111111111,
      "grad_norm": 1.1549971103668213,
      "learning_rate": 0.00016704545454545455,
      "loss": 0.9761,
      "step": 80
    },
    {
      "epoch": 0.8,
      "grad_norm": 1.229239583015442,
      "learning_rate": 0.00015568181818181818,
      "loss": 1.0562,
      "step": 90
    },
    {
      "epoch": 0.8888888888888888,
      "grad_norm": 1.3344461917877197,
      "learning_rate": 0.00014431818181818182,
      "loss": 1.0214,
      "step": 100
    },
    {
      "epoch": 0.9777777777777777,
      "grad_norm": 1.0738836526870728,
      "learning_rate": 0.00013295454545454548,
      "loss": 0.9623,
      "step": 110
    },
    {
      "epoch": 1.0,
      "eval_loss": 1.0325431823730469,
      "eval_runtime": 6.5587,
      "eval_samples_per_second": 15.247,
      "eval_steps_per_second": 1.982,
      "step": 113
    }
  ],
  "logging_steps": 10,
  "max_steps": 226,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 2.96023945641984e+16,
  "train_batch_size": 1,
  "trial_name": null,
  "trial_params": null
}