Hugging Face's logo

Shoir
/
examsv_only

PyTorch
paligemma
Model card Files
xet
Community
examsv_only
File size: 2,501 Bytes
fc4ab36
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 4.9964267483409905,
  "eval_steps": 500,
  "global_step": 1220,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9964267483409903,
      "eval_loss": 0.6944473385810852,
      "eval_runtime": 114.7819,
      "eval_samples_per_second": 7.188,
      "eval_steps_per_second": 0.906,
      "step": 244
    },
    {
      "epoch": 1.0040837161817253,
      "grad_norm": 90.0,
      "learning_rate": 1.7553956834532375e-05,
      "loss": 13.1822,
      "step": 245
    },
    {
      "epoch": 1.9964267483409903,
      "eval_loss": 0.688672661781311,
      "eval_runtime": 83.9218,
      "eval_samples_per_second": 9.831,
      "eval_steps_per_second": 1.239,
      "step": 488
    },
    {
      "epoch": 2.0081674323634506,
      "grad_norm": 40.5,
      "learning_rate": 1.4028776978417267e-05,
      "loss": 11.0456,
      "step": 490
    },
    {
      "epoch": 2.9964267483409905,
      "eval_loss": 0.7161328196525574,
      "eval_runtime": 85.1515,
      "eval_samples_per_second": 9.689,
      "eval_steps_per_second": 1.221,
      "step": 732
    },
    {
      "epoch": 3.012251148545176,
      "grad_norm": 77.0,
      "learning_rate": 1.0503597122302158e-05,
      "loss": 8.2545,
      "step": 735
    },
    {
      "epoch": 3.9964267483409905,
      "eval_loss": 1.2752673625946045,
      "eval_runtime": 83.1659,
      "eval_samples_per_second": 9.92,
      "eval_steps_per_second": 1.251,
      "step": 976
    },
    {
      "epoch": 4.016334864726901,
      "grad_norm": 23.25,
      "learning_rate": 6.978417266187051e-06,
      "loss": 1.473,
      "step": 980
    },
    {
      "epoch": 4.9964267483409905,
      "eval_loss": 2.4596149921417236,
      "eval_runtime": 98.7355,
      "eval_samples_per_second": 8.356,
      "eval_steps_per_second": 1.053,
      "step": 1220
    }
  ],
  "logging_steps": 245,
  "max_steps": 1464,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "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": 1.1909651086511596e+18,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}