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bert-base-uncased-classification-chain-1
This model is a fine-tuned version of irfanamal/bert-base-uncased-finetuned-amazonreviews on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4652
- Accuracy: 0.8391
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: 32
- eval_batch_size: 32
- 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 | Accuracy |
|---|---|---|---|---|
| 0.3913 | 1.0 | 1250 | 0.4652 | 0.8391 |
| 0.2536 | 2.0 | 2500 | 0.4956 | 0.8367 |
| 0.1675 | 3.0 | 3750 | 0.5490 | 0.8382 |
| 0.1013 | 4.0 | 5000 | 0.6493 | 0.839 |
| 0.0639 | 5.0 | 6250 | 0.7283 | 0.8384 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
