bart-with-asr-noise-del-0.3
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7795
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0562 | 0.62 | 500 | 0.8888 |
| 0.8291 | 1.24 | 1000 | 0.8304 |
| 0.6651 | 1.86 | 1500 | 0.7813 |
| 0.589 | 2.48 | 2000 | 0.7795 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for gayanin/bart-with-asr-noise-del-0.3
Base model
facebook/bart-base