N_bert_imdb_padding70model
This model is a fine-tuned version of bert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.6873
- Accuracy: 0.9394
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.2213 | 1.0 | 1563 | 0.3103 | 0.8968 |
0.1541 | 2.0 | 3126 | 0.3041 | 0.908 |
0.0907 | 3.0 | 4689 | 0.3070 | 0.9316 |
0.0654 | 4.0 | 6252 | 0.3320 | 0.9348 |
0.0458 | 5.0 | 7815 | 0.4088 | 0.9346 |
0.0277 | 6.0 | 9378 | 0.4032 | 0.9328 |
0.0257 | 7.0 | 10941 | 0.4421 | 0.9336 |
0.0255 | 8.0 | 12504 | 0.4574 | 0.9347 |
0.0125 | 9.0 | 14067 | 0.4488 | 0.9375 |
0.0149 | 10.0 | 15630 | 0.6741 | 0.9207 |
0.0117 | 11.0 | 17193 | 0.6366 | 0.9342 |
0.0112 | 12.0 | 18756 | 0.6009 | 0.9330 |
0.0098 | 13.0 | 20319 | 0.6284 | 0.9358 |
0.0014 | 14.0 | 21882 | 0.5567 | 0.9394 |
0.0069 | 15.0 | 23445 | 0.6130 | 0.9362 |
0.0013 | 16.0 | 25008 | 0.6577 | 0.9374 |
0.0 | 17.0 | 26571 | 0.6816 | 0.9386 |
0.0003 | 18.0 | 28134 | 0.7144 | 0.9371 |
0.0035 | 19.0 | 29697 | 0.6844 | 0.9391 |
0.0 | 20.0 | 31260 | 0.6873 | 0.9394 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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