Hugging Face's logo

inflaton
/
cs605-nlp-assignment-2-bert-large-uncased-v2

Multiple Choice
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
cs605-nlp-assignment-2-bert-large-uncased-v2
File size: 4,188 Bytes 
fdd0bc4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 7.372654155495979,
  "eval_steps": 500,
  "global_step": 5500,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.6702412868632708,
      "grad_norm": 9.020133018493652,
      "learning_rate": 1.4299394279479472e-06,
      "loss": 0.6244,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7267851233482361,
      "eval_loss": 0.5142917633056641,
      "eval_runtime": 9.4466,
      "eval_samples_per_second": 315.773,
      "eval_steps_per_second": 19.795,
      "step": 746
    },
    {
      "epoch": 1.3404825737265416,
      "grad_norm": 10.139765739440918,
      "learning_rate": 1.3272138943309972e-06,
      "loss": 0.5438,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7405296564102173,
      "eval_loss": 0.49428224563598633,
      "eval_runtime": 9.4794,
      "eval_samples_per_second": 314.682,
      "eval_steps_per_second": 19.727,
      "step": 1492
    },
    {
      "epoch": 2.0107238605898123,
      "grad_norm": 7.425673961639404,
      "learning_rate": 1.2244883607140467e-06,
      "loss": 0.5108,
      "step": 1500
    },
    {
      "epoch": 2.680965147453083,
      "grad_norm": 8.044295310974121,
      "learning_rate": 1.1217628270970966e-06,
      "loss": 0.4787,
      "step": 2000
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7468990683555603,
      "eval_loss": 0.5006520748138428,
      "eval_runtime": 9.5789,
      "eval_samples_per_second": 311.415,
      "eval_steps_per_second": 19.522,
      "step": 2238
    },
    {
      "epoch": 3.351206434316354,
      "grad_norm": 19.568927764892578,
      "learning_rate": 1.0190372934801463e-06,
      "loss": 0.458,
      "step": 2500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7522628307342529,
      "eval_loss": 0.49020281434059143,
      "eval_runtime": 9.4558,
      "eval_samples_per_second": 315.467,
      "eval_steps_per_second": 19.776,
      "step": 2984
    },
    {
      "epoch": 4.021447721179625,
      "grad_norm": 5.546102046966553,
      "learning_rate": 9.16311759863196e-07,
      "loss": 0.4303,
      "step": 3000
    },
    {
      "epoch": 4.6916890080428955,
      "grad_norm": 15.734197616577148,
      "learning_rate": 8.135862262462459e-07,
      "loss": 0.4115,
      "step": 3500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7536037564277649,
      "eval_loss": 0.5176616907119751,
      "eval_runtime": 9.5583,
      "eval_samples_per_second": 312.084,
      "eval_steps_per_second": 19.564,
      "step": 3730
    },
    {
      "epoch": 5.361930294906166,
      "grad_norm": 15.1699857711792,
      "learning_rate": 7.108606926292956e-07,
      "loss": 0.401,
      "step": 4000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.755950391292572,
      "eval_loss": 0.5166484713554382,
      "eval_runtime": 9.6024,
      "eval_samples_per_second": 310.652,
      "eval_steps_per_second": 19.474,
      "step": 4476
    },
    {
      "epoch": 6.032171581769437,
      "grad_norm": 15.72288990020752,
      "learning_rate": 6.081351590123454e-07,
      "loss": 0.3829,
      "step": 4500
    },
    {
      "epoch": 6.702412868632708,
      "grad_norm": 9.840254783630371,
      "learning_rate": 5.054096253953951e-07,
      "loss": 0.3686,
      "step": 5000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.7596379518508911,
      "eval_loss": 0.5389177799224854,
      "eval_runtime": 9.5625,
      "eval_samples_per_second": 311.946,
      "eval_steps_per_second": 19.555,
      "step": 5222
    },
    {
      "epoch": 7.372654155495979,
      "grad_norm": 13.200855255126953,
      "learning_rate": 4.0268409177844495e-07,
      "loss": 0.358,
      "step": 5500
    }
  ],
  "logging_steps": 500,
  "max_steps": 7460,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 1.4332422519482328e+16,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 1.5326649615648975e-06,
    "per_device_train_batch_size": 16
  }
}