distilbert-base-cased-finetuned-products
This model is a fine-tuned version of distilbert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3260
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.7961 | 1.0 | 8544 | 3.1587 |
| 2.3384 | 2.0 | 17088 | 1.7900 |
| 1.457 | 3.0 | 25632 | 1.4633 |
| 1.0978 | 4.0 | 34176 | 1.3532 |
| 0.9052 | 5.0 | 42720 | 1.3260 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0.post100
- Datasets 2.19.1
- Tokenizers 0.19.1
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