results
This model is a fine-tuned version of eugenesiow/bart-paraphrase on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1435
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2622 | 0.9968 | 154 | 4.8920 |
| 4.4409 | 2.0 | 309 | 3.8232 |
| 3.8001 | 2.9968 | 463 | 3.3055 |
| 3.4922 | 4.0 | 618 | 2.9036 |
| 3.2041 | 4.9968 | 772 | 2.6903 |
| 3.0911 | 6.0 | 927 | 2.4548 |
| 2.7878 | 6.9968 | 1081 | 2.4292 |
| 2.7969 | 8.0 | 1236 | 2.2862 |
| 2.5457 | 8.9968 | 1390 | 2.1846 |
| 2.6063 | 9.9676 | 1540 | 2.2019 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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eugenesiow/bart-paraphrase