test-case-bart-greater-than-10
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5685
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: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.0457 | 1.0 | 187 | 2.7176 |
| 0.808 | 2.0 | 374 | 0.7021 |
| 0.6099 | 3.0 | 561 | 0.6223 |
| 0.5265 | 4.0 | 748 | 0.5803 |
| 0.3852 | 5.0 | 935 | 0.5685 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2
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Model tree for vignesh-spericorn/test-case-bart-greater-than-10
Base model
facebook/bart-base