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distilbert-base-uncased-finetuned-char-v2
This model is a fine-tuned version of bhagasra-saurav/distilbert-base-uncased-finetuned-char on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5014
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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.6644 | 0.78 | 500 | 1.5958 |
1.6418 | 1.57 | 1000 | 1.5597 |
1.6235 | 2.35 | 1500 | 1.5579 |
1.6105 | 3.13 | 2000 | 1.5491 |
1.5926 | 3.92 | 2500 | 1.5285 |
1.5806 | 4.7 | 3000 | 1.5340 |
1.5674 | 5.49 | 3500 | 1.5151 |
1.5658 | 6.27 | 4000 | 1.5020 |
1.5528 | 7.05 | 4500 | 1.5046 |
1.5391 | 7.84 | 5000 | 1.4953 |
1.5381 | 8.62 | 5500 | 1.4785 |
1.5323 | 9.4 | 6000 | 1.4720 |
1.5315 | 10.19 | 6500 | 1.4910 |
1.5346 | 10.97 | 7000 | 1.4878 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3