Hugging Face's logo

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

Multiple Choice
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
cs605-nlp-assignment-2-bert-large-uncased
File size: 3,767 Bytes 
90cfd58
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 6.702412868632708,
  "eval_steps": 500,
  "global_step": 5000,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.6702412868632708,
      "grad_norm": 4.357646942138672,
      "learning_rate": 1.0524844447678954e-05,
      "loss": 0.552,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7542742490768433,
      "eval_loss": 0.4794575572013855,
      "eval_runtime": 8.8133,
      "eval_samples_per_second": 338.465,
      "eval_steps_per_second": 21.218,
      "step": 746
    },
    {
      "epoch": 1.3404825737265416,
      "grad_norm": 9.759268760681152,
      "learning_rate": 9.768749300575582e-06,
      "loss": 0.4163,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7660073637962341,
      "eval_loss": 0.5210239291191101,
      "eval_runtime": 8.8965,
      "eval_samples_per_second": 335.302,
      "eval_steps_per_second": 21.02,
      "step": 1492
    },
    {
      "epoch": 2.0107238605898123,
      "grad_norm": 5.988788604736328,
      "learning_rate": 9.01265415347221e-06,
      "loss": 0.3141,
      "step": 1500
    },
    {
      "epoch": 2.680965147453083,
      "grad_norm": 7.434717178344727,
      "learning_rate": 8.256559006368837e-06,
      "loss": 0.1535,
      "step": 2000
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7717063426971436,
      "eval_loss": 0.7554643154144287,
      "eval_runtime": 8.8771,
      "eval_samples_per_second": 336.034,
      "eval_steps_per_second": 21.065,
      "step": 2238
    },
    {
      "epoch": 3.351206434316354,
      "grad_norm": 2.2768313884735107,
      "learning_rate": 7.5004638592654626e-06,
      "loss": 0.1157,
      "step": 2500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7656721472740173,
      "eval_loss": 0.8537822961807251,
      "eval_runtime": 8.9123,
      "eval_samples_per_second": 334.706,
      "eval_steps_per_second": 20.982,
      "step": 2984
    },
    {
      "epoch": 4.021447721179625,
      "grad_norm": 13.178425788879395,
      "learning_rate": 6.744368712162088e-06,
      "loss": 0.0762,
      "step": 3000
    },
    {
      "epoch": 4.6916890080428955,
      "grad_norm": 11.147052764892578,
      "learning_rate": 5.988273565058716e-06,
      "loss": 0.0402,
      "step": 3500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7683539986610413,
      "eval_loss": 1.0469584465026855,
      "eval_runtime": 8.8798,
      "eval_samples_per_second": 335.931,
      "eval_steps_per_second": 21.059,
      "step": 3730
    },
    {
      "epoch": 5.361930294906166,
      "grad_norm": 6.590982437133789,
      "learning_rate": 5.232178417955343e-06,
      "loss": 0.0302,
      "step": 4000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.763660728931427,
      "eval_loss": 1.0408499240875244,
      "eval_runtime": 9.1073,
      "eval_samples_per_second": 327.539,
      "eval_steps_per_second": 20.533,
      "step": 4476
    },
    {
      "epoch": 6.032171581769437,
      "grad_norm": 6.727069854736328,
      "learning_rate": 4.476083270851969e-06,
      "loss": 0.0248,
      "step": 4500
    },
    {
      "epoch": 6.702412868632708,
      "grad_norm": 0.06561928987503052,
      "learning_rate": 3.719988123748596e-06,
      "loss": 0.017,
      "step": 5000
    }
  ],
  "logging_steps": 500,
  "max_steps": 7460,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 1.3910619432415356e+16,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 1.1280939594782328e-05,
    "per_device_train_batch_size": 16
  }
}