bart-finetuned-kwsylgen-64-Rerun
This model is a fine-tuned version of adamjweintraut/bart-finetuned-lyrlen-64-lines on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4231
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4862 | 0.18 | 500 | 0.4553 |
| 0.4128 | 0.36 | 1000 | 0.4430 |
| 0.3923 | 0.54 | 1500 | 0.4311 |
| 0.3789 | 0.72 | 2000 | 0.4255 |
| 0.3722 | 0.9 | 2500 | 0.4231 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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