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: 3,564 Bytes 
1585df3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 8.04289544235925,
  "eval_steps": 500,
  "global_step": 3000,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7680187821388245,
      "eval_loss": 0.4622006416320801,
      "eval_runtime": 9.5056,
      "eval_samples_per_second": 313.816,
      "eval_steps_per_second": 19.673,
      "step": 373
    },
    {
      "epoch": 1.3404825737265416,
      "grad_norm": 21.834245681762695,
      "learning_rate": 3.516708684536568e-06,
      "loss": 0.5575,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7968488335609436,
      "eval_loss": 0.4220982789993286,
      "eval_runtime": 9.4241,
      "eval_samples_per_second": 316.529,
      "eval_steps_per_second": 19.843,
      "step": 746
    },
    {
      "epoch": 2.680965147453083,
      "grad_norm": 18.592424392700195,
      "learning_rate": 2.972326535227502e-06,
      "loss": 0.4016,
      "step": 1000
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8162923455238342,
      "eval_loss": 0.4073546528816223,
      "eval_runtime": 9.4187,
      "eval_samples_per_second": 316.71,
      "eval_steps_per_second": 19.854,
      "step": 1119
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8213208317756653,
      "eval_loss": 0.4337773323059082,
      "eval_runtime": 9.4694,
      "eval_samples_per_second": 315.016,
      "eval_steps_per_second": 19.748,
      "step": 1492
    },
    {
      "epoch": 4.021447721179625,
      "grad_norm": 26.7930850982666,
      "learning_rate": 2.4279443859184353e-06,
      "loss": 0.2956,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8246731758117676,
      "eval_loss": 0.4652492105960846,
      "eval_runtime": 9.4433,
      "eval_samples_per_second": 315.885,
      "eval_steps_per_second": 19.802,
      "step": 1865
    },
    {
      "epoch": 5.361930294906166,
      "grad_norm": 20.48050880432129,
      "learning_rate": 1.8835622366093693e-06,
      "loss": 0.2101,
      "step": 2000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8236674666404724,
      "eval_loss": 0.4927256107330322,
      "eval_runtime": 9.3134,
      "eval_samples_per_second": 320.292,
      "eval_steps_per_second": 20.079,
      "step": 2238
    },
    {
      "epoch": 6.702412868632708,
      "grad_norm": 23.84658432006836,
      "learning_rate": 1.3391800873003031e-06,
      "loss": 0.1735,
      "step": 2500
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8250083923339844,
      "eval_loss": 0.5141119360923767,
      "eval_runtime": 9.2734,
      "eval_samples_per_second": 321.672,
      "eval_steps_per_second": 20.165,
      "step": 2611
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.822996973991394,
      "eval_loss": 0.5317586660385132,
      "eval_runtime": 9.4667,
      "eval_samples_per_second": 315.104,
      "eval_steps_per_second": 19.753,
      "step": 2984
    },
    {
      "epoch": 8.04289544235925,
      "grad_norm": 16.326515197753906,
      "learning_rate": 7.947979379912367e-07,
      "loss": 0.1395,
      "step": 3000
    }
  ],
  "logging_steps": 500,
  "max_steps": 3730,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 1.6826244219836316e+16,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 4.0610908338456346e-06,
    "per_device_train_batch_size": 32
  }
}