Hugging Face's logo

Hartunka
/
tiny_bert_km_10_v2_mrpc

Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
Metrics Community
tiny_bert_km_10_v2_mrpc
File size: 4,619 Bytes
d9547b5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_global_step": 30,
  "best_metric": 0.6038627028465271,
  "best_model_checkpoint": "tiny_bert_km_10_v2_mrpc/checkpoint-30",
  "epoch": 7.0,
  "eval_steps": 500,
  "global_step": 105,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.7767913341522217,
      "learning_rate": 4.9e-05,
      "loss": 0.6326,
      "step": 15
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6862745098039216,
      "eval_combined_score": 0.7470411588058647,
      "eval_f1": 0.8078078078078078,
      "eval_loss": 0.6154976487159729,
      "eval_runtime": 0.1382,
      "eval_samples_per_second": 2952.385,
      "eval_steps_per_second": 14.472,
      "step": 15
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.0868405103683472,
      "learning_rate": 4.8e-05,
      "loss": 0.5959,
      "step": 30
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7058823529411765,
      "eval_combined_score": 0.7620320855614974,
      "eval_f1": 0.8181818181818182,
      "eval_loss": 0.6038627028465271,
      "eval_runtime": 0.1291,
      "eval_samples_per_second": 3160.216,
      "eval_steps_per_second": 15.491,
      "step": 30
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.0897839069366455,
      "learning_rate": 4.7e-05,
      "loss": 0.5662,
      "step": 45
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.6936274509803921,
      "eval_combined_score": 0.752828763084181,
      "eval_f1": 0.8120300751879699,
      "eval_loss": 0.6089034676551819,
      "eval_runtime": 0.134,
      "eval_samples_per_second": 3045.322,
      "eval_steps_per_second": 14.928,
      "step": 45
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.4412758350372314,
      "learning_rate": 4.600000000000001e-05,
      "loss": 0.5395,
      "step": 60
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7009803921568627,
      "eval_combined_score": 0.7545782463928967,
      "eval_f1": 0.8081761006289309,
      "eval_loss": 0.6144157648086548,
      "eval_runtime": 0.1327,
      "eval_samples_per_second": 3075.119,
      "eval_steps_per_second": 15.074,
      "step": 60
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.733062505722046,
      "learning_rate": 4.5e-05,
      "loss": 0.4794,
      "step": 75
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.6838235294117647,
      "eval_combined_score": 0.7338715637008573,
      "eval_f1": 0.7839195979899497,
      "eval_loss": 0.6358864903450012,
      "eval_runtime": 0.1488,
      "eval_samples_per_second": 2742.447,
      "eval_steps_per_second": 13.443,
      "step": 75
    },
    {
      "epoch": 6.0,
      "grad_norm": 2.0078938007354736,
      "learning_rate": 4.4000000000000006e-05,
      "loss": 0.3903,
      "step": 90
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.6593137254901961,
      "eval_combined_score": 0.7087872975277067,
      "eval_f1": 0.7582608695652174,
      "eval_loss": 0.7128481268882751,
      "eval_runtime": 0.1316,
      "eval_samples_per_second": 3099.453,
      "eval_steps_per_second": 15.193,
      "step": 90
    },
    {
      "epoch": 7.0,
      "grad_norm": 3.0901219844818115,
      "learning_rate": 4.3e-05,
      "loss": 0.2926,
      "step": 105
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.6568627450980392,
      "eval_combined_score": 0.7109817081194894,
      "eval_f1": 0.7651006711409396,
      "eval_loss": 0.8221036195755005,
      "eval_runtime": 0.1343,
      "eval_samples_per_second": 3037.732,
      "eval_steps_per_second": 14.891,
      "step": 105
    },
    {
      "epoch": 7.0,
      "step": 105,
      "total_flos": 673316591603712.0,
      "train_loss": 0.49947141919817245,
      "train_runtime": 19.5031,
      "train_samples_per_second": 9403.623,
      "train_steps_per_second": 38.455
    }
  ],
  "logging_steps": 1,
  "max_steps": 750,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 50,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 5,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 5
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 673316591603712.0,
  "train_batch_size": 256,
  "trial_name": null,
  "trial_params": null
}