Hugging Face's logo

inflaton
/
cs605-nlp-assignment-2-roberta-large-v2

Multiple Choice
Transformers
Safetensors
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
cs605-nlp-assignment-2-roberta-large-v2
File size: 2,587 Bytes 
e058e03
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_metric": null,
  "best_model_checkpoint": null,
  "epoch": 4.021447721179625,
  "eval_steps": 500,
  "global_step": 3000,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.6702412868632708,
      "grad_norm": 23.28346824645996,
      "learning_rate": 9.798511296679954e-06,
      "loss": 0.5531,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8025477528572083,
      "eval_loss": 0.4079710841178894,
      "eval_runtime": 9.2612,
      "eval_samples_per_second": 322.097,
      "eval_steps_per_second": 20.192,
      "step": 746
    },
    {
      "epoch": 1.3404825737265416,
      "grad_norm": 38.64032745361328,
      "learning_rate": 9.094595255251797e-06,
      "loss": 0.3957,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8276902437210083,
      "eval_loss": 0.42224231362342834,
      "eval_runtime": 9.5099,
      "eval_samples_per_second": 313.673,
      "eval_steps_per_second": 19.664,
      "step": 1492
    },
    {
      "epoch": 2.0107238605898123,
      "grad_norm": 34.970176696777344,
      "learning_rate": 8.390679213823639e-06,
      "loss": 0.3185,
      "step": 1500
    },
    {
      "epoch": 2.680965147453083,
      "grad_norm": 13.735482215881348,
      "learning_rate": 7.686763172395482e-06,
      "loss": 0.1887,
      "step": 2000
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.819309413433075,
      "eval_loss": 0.49816903471946716,
      "eval_runtime": 9.3819,
      "eval_samples_per_second": 317.952,
      "eval_steps_per_second": 19.932,
      "step": 2238
    },
    {
      "epoch": 3.351206434316354,
      "grad_norm": 10.144265174865723,
      "learning_rate": 6.982847130967324e-06,
      "loss": 0.1522,
      "step": 2500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8313778042793274,
      "eval_loss": 0.6922349333763123,
      "eval_runtime": 9.2835,
      "eval_samples_per_second": 321.324,
      "eval_steps_per_second": 20.143,
      "step": 2984
    },
    {
      "epoch": 4.021447721179625,
      "grad_norm": 39.181697845458984,
      "learning_rate": 6.278931089539166e-06,
      "loss": 0.1152,
      "step": 3000
    }
  ],
  "logging_steps": 500,
  "max_steps": 7460,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 7911611857924632.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 1.0502427338108112e-05,
    "per_device_train_batch_size": 16
  }
}