bert_base_cased_MultiClass_Sentiment_A
This model is a fine-tuned version of HMEXBI/bert_base_cased_MultiClass on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0470
- Accuracy: 0.8093
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 357 | 1.0515 | 0.7700 |
| 0.3375 | 2.0 | 714 | 1.0273 | 0.7854 |
| 0.1605 | 3.0 | 1071 | 1.0470 | 0.8093 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
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