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xlm-roberta-base-finetuned-marc
This model is a fine-tuned version of xlm-roberta-base on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 1.1497
- Mae: 0.6986
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Mae |
|---|---|---|---|---|
| 1.2594 | 1.0 | 196 | 1.2004 | 0.7123 |
| 1.1455 | 2.0 | 392 | 1.1497 | 0.6986 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
