Hugging Face's logo

Hartunka
/
tiny_bert_rand_50_v2_wnli

Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
Metrics Community
tiny_bert_rand_50_v2_wnli
File size: 3,605 Bytes
f7cca6f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_global_step": 3,
  "best_metric": 0.6917364597320557,
  "best_model_checkpoint": "tiny_bert_rand_50_v2_wnli/checkpoint-3",
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 18,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.8235816359519958,
      "learning_rate": 4.9e-05,
      "loss": 0.6957,
      "step": 3
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5492957746478874,
      "eval_loss": 0.6917364597320557,
      "eval_runtime": 0.0315,
      "eval_samples_per_second": 2253.978,
      "eval_steps_per_second": 31.746,
      "step": 3
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.8038091063499451,
      "learning_rate": 4.8e-05,
      "loss": 0.7026,
      "step": 6
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5492957746478874,
      "eval_loss": 0.694267213344574,
      "eval_runtime": 0.0366,
      "eval_samples_per_second": 1940.277,
      "eval_steps_per_second": 27.328,
      "step": 6
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.5372172594070435,
      "learning_rate": 4.7e-05,
      "loss": 0.6984,
      "step": 9
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.4225352112676056,
      "eval_loss": 0.7109375,
      "eval_runtime": 0.032,
      "eval_samples_per_second": 2221.559,
      "eval_steps_per_second": 31.29,
      "step": 9
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.4333108067512512,
      "learning_rate": 4.600000000000001e-05,
      "loss": 0.6952,
      "step": 12
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.3380281690140845,
      "eval_loss": 0.7083516120910645,
      "eval_runtime": 0.0307,
      "eval_samples_per_second": 2311.144,
      "eval_steps_per_second": 32.551,
      "step": 12
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.7413873672485352,
      "learning_rate": 4.5e-05,
      "loss": 0.6948,
      "step": 15
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.5070422535211268,
      "eval_loss": 0.7027947902679443,
      "eval_runtime": 0.0309,
      "eval_samples_per_second": 2299.402,
      "eval_steps_per_second": 32.386,
      "step": 15
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.591996967792511,
      "learning_rate": 4.4000000000000006e-05,
      "loss": 0.6959,
      "step": 18
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.5211267605633803,
      "eval_loss": 0.7051607966423035,
      "eval_runtime": 0.0349,
      "eval_samples_per_second": 2033.29,
      "eval_steps_per_second": 28.638,
      "step": 18
    },
    {
      "epoch": 6.0,
      "step": 18,
      "total_flos": 99911832606720.0,
      "train_loss": 0.6970992353227403,
      "train_runtime": 6.8842,
      "train_samples_per_second": 4612.036,
      "train_steps_per_second": 21.789
    }
  ],
  "logging_steps": 1,
  "max_steps": 150,
  "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": 99911832606720.0,
  "train_batch_size": 256,
  "trial_name": null,
  "trial_params": null
}