N_bert_imdb_padding10model
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: 0.6695
- Accuracy: 0.9398
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 |
---|---|---|---|---|
0.2175 | 1.0 | 1563 | 0.2147 | 0.9269 |
0.1483 | 2.0 | 3126 | 0.2123 | 0.9384 |
0.0912 | 3.0 | 4689 | 0.2707 | 0.9325 |
0.0569 | 4.0 | 6252 | 0.3262 | 0.9314 |
0.042 | 5.0 | 7815 | 0.3316 | 0.9372 |
0.0373 | 6.0 | 9378 | 0.4147 | 0.9365 |
0.0181 | 7.0 | 10941 | 0.4632 | 0.936 |
0.0144 | 8.0 | 12504 | 0.5192 | 0.9338 |
0.0138 | 9.0 | 14067 | 0.4934 | 0.9388 |
0.0094 | 10.0 | 15630 | 0.5627 | 0.9363 |
0.0091 | 11.0 | 17193 | 0.6356 | 0.9285 |
0.0114 | 12.0 | 18756 | 0.5780 | 0.9368 |
0.0025 | 13.0 | 20319 | 0.6362 | 0.9402 |
0.0067 | 14.0 | 21882 | 0.5902 | 0.9388 |
0.0043 | 15.0 | 23445 | 0.6124 | 0.9387 |
0.0029 | 16.0 | 25008 | 0.5929 | 0.9380 |
0.0001 | 17.0 | 26571 | 0.6554 | 0.9394 |
0.0005 | 18.0 | 28134 | 0.6619 | 0.9408 |
0.0019 | 19.0 | 29697 | 0.6654 | 0.9398 |
0.0 | 20.0 | 31260 | 0.6695 | 0.9398 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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