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electra-small-discriminator-text-classification-en-finetuned-amazon_reviews_multi-en
This model is a fine-tuned version of google/electra-small-discriminator on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 0.9435
- Accuracy: 0.5922
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.9639 | 1.0 | 12500 | 0.9660 | 0.5816 |
| 0.9192 | 2.0 | 25000 | 0.9615 | 0.5858 |
| 0.8901 | 3.0 | 37500 | 0.9573 | 0.5892 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
