Hugging Face's logo

aai520-group6
/
roberta-finetuned-squad_v2

Question Answering
Transformers
PyTorch
English
roberta
Eval Results
Inference Endpoints
Model card Files Community
roberta-finetuned-squad_v2
File size: 4,218 Bytes 
09fb982
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
166
167
168
169
170
171
172
173
174
175
176
177
 
{
  "best_metric": 0.9063502550125122,
  "best_model_checkpoint": "/content/drive/My Drive/Colab Notebooks/aai520-project/checkpoints/roberta-finetuned/checkpoint-1000",
  "epoch": 1.9607843137254903,
  "eval_steps": 100,
  "global_step": 1000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.2,
      "learning_rate": 1.811764705882353e-05,
      "loss": 2.9129,
      "step": 100
    },
    {
      "epoch": 0.2,
      "eval_loss": 1.4699586629867554,
      "eval_runtime": 17.6815,
      "eval_samples_per_second": 676.131,
      "eval_steps_per_second": 10.576,
      "step": 100
    },
    {
      "epoch": 0.39,
      "learning_rate": 1.6176470588235296e-05,
      "loss": 1.4395,
      "step": 200
    },
    {
      "epoch": 0.39,
      "eval_loss": 1.240740418434143,
      "eval_runtime": 17.6813,
      "eval_samples_per_second": 676.14,
      "eval_steps_per_second": 10.576,
      "step": 200
    },
    {
      "epoch": 0.59,
      "learning_rate": 1.4215686274509805e-05,
      "loss": 1.2356,
      "step": 300
    },
    {
      "epoch": 0.59,
      "eval_loss": 1.0324599742889404,
      "eval_runtime": 17.7184,
      "eval_samples_per_second": 674.723,
      "eval_steps_per_second": 10.554,
      "step": 300
    },
    {
      "epoch": 0.78,
      "learning_rate": 1.2254901960784315e-05,
      "loss": 1.1284,
      "step": 400
    },
    {
      "epoch": 0.78,
      "eval_loss": 0.9749970436096191,
      "eval_runtime": 17.7173,
      "eval_samples_per_second": 674.763,
      "eval_steps_per_second": 10.555,
      "step": 400
    },
    {
      "epoch": 0.98,
      "learning_rate": 1.0294117647058823e-05,
      "loss": 1.0821,
      "step": 500
    },
    {
      "epoch": 0.98,
      "eval_loss": 0.9345471858978271,
      "eval_runtime": 17.7101,
      "eval_samples_per_second": 675.038,
      "eval_steps_per_second": 10.559,
      "step": 500
    },
    {
      "epoch": 1.18,
      "learning_rate": 8.333333333333334e-06,
      "loss": 0.9978,
      "step": 600
    },
    {
      "epoch": 1.18,
      "eval_loss": 0.9892988801002502,
      "eval_runtime": 17.6864,
      "eval_samples_per_second": 675.943,
      "eval_steps_per_second": 10.573,
      "step": 600
    },
    {
      "epoch": 1.37,
      "learning_rate": 6.372549019607843e-06,
      "loss": 0.9697,
      "step": 700
    },
    {
      "epoch": 1.37,
      "eval_loss": 0.9299613237380981,
      "eval_runtime": 17.7225,
      "eval_samples_per_second": 674.565,
      "eval_steps_per_second": 10.552,
      "step": 700
    },
    {
      "epoch": 1.57,
      "learning_rate": 4.411764705882353e-06,
      "loss": 0.9455,
      "step": 800
    },
    {
      "epoch": 1.57,
      "eval_loss": 0.9351199865341187,
      "eval_runtime": 17.7361,
      "eval_samples_per_second": 674.051,
      "eval_steps_per_second": 10.543,
      "step": 800
    },
    {
      "epoch": 1.76,
      "learning_rate": 2.450980392156863e-06,
      "loss": 0.9322,
      "step": 900
    },
    {
      "epoch": 1.76,
      "eval_loss": 0.9450510144233704,
      "eval_runtime": 17.7032,
      "eval_samples_per_second": 675.301,
      "eval_steps_per_second": 10.563,
      "step": 900
    },
    {
      "epoch": 1.96,
      "learning_rate": 4.901960784313725e-07,
      "loss": 0.9269,
      "step": 1000
    },
    {
      "epoch": 1.96,
      "eval_loss": 0.9063502550125122,
      "eval_runtime": 17.6937,
      "eval_samples_per_second": 675.663,
      "eval_steps_per_second": 10.569,
      "step": 1000
    },
    {
      "epoch": 1.96,
      "step": 1000,
      "total_flos": 6.688961805360538e+16,
      "train_loss": 0.0,
      "train_runtime": 0.5646,
      "train_samples_per_second": 462448.203,
      "train_steps_per_second": 903.281
    },
    {
      "epoch": 1.96,
      "eval_loss": 0.9063528180122375,
      "eval_runtime": 17.3728,
      "eval_samples_per_second": 688.145,
      "eval_steps_per_second": 5.411,
      "step": 1000
    }
  ],
  "logging_steps": 100,
  "max_steps": 510,
  "num_train_epochs": 2,
  "save_steps": 100,
  "total_flos": 6.688961805360538e+16,
  "trial_name": null,
  "trial_params": null
}