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bert-from-scratch-15e-10334t-finetuned-opinion
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5936
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
6.5669 | 1.0 | 902 | 6.2062 |
6.1906 | 2.0 | 1804 | 6.0842 |
6.0858 | 3.0 | 2706 | 6.0119 |
6.0325 | 4.0 | 3608 | 5.9765 |
5.9894 | 5.0 | 4510 | 5.9406 |
5.958 | 6.0 | 5412 | 5.9109 |
5.9195 | 7.0 | 6314 | 5.8513 |
5.8653 | 8.0 | 7216 | 5.8068 |
5.8215 | 9.0 | 8118 | 5.7579 |
5.772 | 10.0 | 9020 | 5.7021 |
5.7374 | 11.0 | 9922 | 5.6582 |
5.7041 | 12.0 | 10824 | 5.6425 |
5.6762 | 13.0 | 11726 | 5.6251 |
5.6606 | 14.0 | 12628 | 5.6135 |
5.655 | 15.0 | 13530 | 5.6090 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2