bert_12_layer_model_v3_complete_training_48
This model is a fine-tuned version of on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 3.2767
- Accuracy: 0.4430
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: 1e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.5785 | 0.08 | 10000 | 6.5368 | 0.1282 |
| 6.3475 | 0.16 | 20000 | 6.3341 | 0.1409 |
| 6.2664 | 0.25 | 30000 | 6.2525 | 0.1446 |
| 6.2198 | 0.33 | 40000 | 6.2002 | 0.1474 |
| 6.1403 | 0.41 | 50000 | 6.1243 | 0.1497 |
| 6.0674 | 0.49 | 60000 | 6.0389 | 0.1520 |
| 5.9921 | 0.57 | 70000 | 5.9584 | 0.1548 |
| 5.9337 | 0.66 | 80000 | 5.8929 | 0.1577 |
| 5.8269 | 0.74 | 90000 | 5.7654 | 0.1685 |
| 5.5053 | 0.82 | 100000 | 5.3216 | 0.2274 |
| 4.8237 | 0.9 | 110000 | 4.6350 | 0.3054 |
| 4.3302 | 0.98 | 120000 | 4.1723 | 0.3496 |
| 4.0721 | 1.07 | 130000 | 3.9373 | 0.3741 |
| 3.8896 | 1.15 | 140000 | 3.7763 | 0.3903 |
| 3.7842 | 1.23 | 150000 | 3.6628 | 0.4018 |
| 3.6871 | 1.31 | 160000 | 3.5734 | 0.4111 |
| 3.6099 | 1.39 | 170000 | 3.4986 | 0.4188 |
| 3.5585 | 1.47 | 180000 | 3.4324 | 0.4259 |
| 3.4922 | 1.56 | 190000 | 3.3767 | 0.4316 |
| 3.4342 | 1.64 | 200000 | 3.3234 | 0.4374 |
| 3.3799 | 1.72 | 210000 | 3.2770 | 0.4429 |
Framework versions
- Transformers 4.33.3
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.13.3