Hugging Face's logo

HuggingPanda
/
distilbert-base-uncased-finetuned-clinc-oos-plus

TensorBoard
Safetensors
distilbert
Model card Files
xet
 Metrics Community
distilbert-base-uncased-finetuned-clinc-oos-plus
File size: 4,688 Bytes
95a0dd0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
178
179
180
181
182
{
  "best_metric": 0.19915683567523956,
  "best_model_checkpoint": "distilbert-base-uncased-finetuned-clinc-oos-plus/run-0/checkpoint-1071",
  "epoch": 8.925,
  "eval_steps": 119,
  "global_step": 1071,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9916666666666667,
      "grad_norm": 0.7661037445068359,
      "learning_rate": 1.77962962962963e-05,
      "loss": 0.6655,
      "step": 119
    },
    {
      "epoch": 0.9916666666666667,
      "eval_accuracy": 0.05709677419354839,
      "eval_loss": 0.5611550807952881,
      "eval_runtime": 5.2298,
      "eval_samples_per_second": 592.757,
      "eval_steps_per_second": 4.78,
      "step": 119
    },
    {
      "epoch": 1.9833333333333334,
      "grad_norm": 1.0290801525115967,
      "learning_rate": 1.5592592592592593e-05,
      "loss": 0.5116,
      "step": 238
    },
    {
      "epoch": 1.9833333333333334,
      "eval_accuracy": 0.2,
      "eval_loss": 0.42120361328125,
      "eval_runtime": 5.3353,
      "eval_samples_per_second": 581.039,
      "eval_steps_per_second": 4.686,
      "step": 238
    },
    {
      "epoch": 2.975,
      "grad_norm": 0.851043164730072,
      "learning_rate": 1.338888888888889e-05,
      "loss": 0.402,
      "step": 357
    },
    {
      "epoch": 2.975,
      "eval_accuracy": 0.41838709677419356,
      "eval_loss": 0.3284984827041626,
      "eval_runtime": 5.283,
      "eval_samples_per_second": 586.785,
      "eval_steps_per_second": 4.732,
      "step": 357
    },
    {
      "epoch": 3.966666666666667,
      "grad_norm": 0.7865561246871948,
      "learning_rate": 1.1185185185185185e-05,
      "loss": 0.3261,
      "step": 476
    },
    {
      "epoch": 3.966666666666667,
      "eval_accuracy": 0.5587096774193548,
      "eval_loss": 0.2734394669532776,
      "eval_runtime": 5.255,
      "eval_samples_per_second": 589.91,
      "eval_steps_per_second": 4.757,
      "step": 476
    },
    {
      "epoch": 4.958333333333333,
      "grad_norm": 0.7745070457458496,
      "learning_rate": 8.981481481481483e-06,
      "loss": 0.282,
      "step": 595
    },
    {
      "epoch": 4.958333333333333,
      "eval_accuracy": 0.6261290322580645,
      "eval_loss": 0.23937486112117767,
      "eval_runtime": 5.2704,
      "eval_samples_per_second": 588.194,
      "eval_steps_per_second": 4.743,
      "step": 595
    },
    {
      "epoch": 5.95,
      "grad_norm": 0.9656067490577698,
      "learning_rate": 6.777777777777779e-06,
      "loss": 0.2523,
      "step": 714
    },
    {
      "epoch": 5.95,
      "eval_accuracy": 0.6803225806451613,
      "eval_loss": 0.21992823481559753,
      "eval_runtime": 5.241,
      "eval_samples_per_second": 591.487,
      "eval_steps_per_second": 4.77,
      "step": 714
    },
    {
      "epoch": 6.941666666666666,
      "grad_norm": 0.6306410431861877,
      "learning_rate": 4.5740740740740745e-06,
      "loss": 0.235,
      "step": 833
    },
    {
      "epoch": 6.941666666666666,
      "eval_accuracy": 0.6967741935483871,
      "eval_loss": 0.20852065086364746,
      "eval_runtime": 5.2518,
      "eval_samples_per_second": 590.271,
      "eval_steps_per_second": 4.76,
      "step": 833
    },
    {
      "epoch": 7.933333333333334,
      "grad_norm": 0.6096643805503845,
      "learning_rate": 2.3703703703703707e-06,
      "loss": 0.2228,
      "step": 952
    },
    {
      "epoch": 7.933333333333334,
      "eval_accuracy": 0.7103225806451613,
      "eval_loss": 0.20159533619880676,
      "eval_runtime": 5.2662,
      "eval_samples_per_second": 588.662,
      "eval_steps_per_second": 4.747,
      "step": 952
    },
    {
      "epoch": 8.925,
      "grad_norm": 0.5338801145553589,
      "learning_rate": 1.6666666666666668e-07,
      "loss": 0.2174,
      "step": 1071
    },
    {
      "epoch": 8.925,
      "eval_accuracy": 0.714516129032258,
      "eval_loss": 0.19915683567523956,
      "eval_runtime": 5.2762,
      "eval_samples_per_second": 587.546,
      "eval_steps_per_second": 4.738,
      "step": 1071
    }
  ],
  "logging_steps": 119,
  "max_steps": 1080,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "save_steps": 119,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 816805015151832.0,
  "train_batch_size": 128,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.7937035517473829,
    "num_train_epochs": 9,
    "temperature": 13
  }
}