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tluo_xml_roberta_base_amazon_review_sentiment_v3
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9456
- Accuracy: 0.6023
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: 123
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.056 | 0.33 | 5000 | 0.9885 | 0.5642 |
| 0.944 | 0.67 | 10000 | 0.9574 | 0.5913 |
| 0.9505 | 1.0 | 15000 | 0.9674 | 0.579 |
| 0.8902 | 1.33 | 20000 | 0.9660 | 0.5945 |
| 0.8851 | 1.67 | 25000 | 0.9470 | 0.5888 |
| 0.8714 | 2.0 | 30000 | 0.9456 | 0.6023 |
| 0.7967 | 2.33 | 35000 | 0.9662 | 0.5978 |
| 0.767 | 2.67 | 40000 | 0.9738 | 0.5987 |
| 0.7595 | 3.0 | 45000 | 0.9740 | 0.5988 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Tokenizers 0.13.1
