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dealFindr-finetuned
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: 4.3328
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 13.2699 |
| No log | 2.0 | 12 | 12.2786 |
| No log | 3.0 | 18 | 11.5745 |
| No log | 4.0 | 24 | 10.8457 |
| No log | 5.0 | 30 | 9.8424 |
| No log | 6.0 | 36 | 8.5779 |
| No log | 7.0 | 42 | 6.9630 |
| No log | 8.0 | 48 | 6.1362 |
| No log | 9.0 | 54 | 5.6167 |
| No log | 10.0 | 60 | 5.3033 |
| No log | 11.0 | 66 | 5.0873 |
| No log | 12.0 | 72 | 4.8782 |
| No log | 13.0 | 78 | 4.7162 |
| No log | 14.0 | 84 | 4.6101 |
| No log | 15.0 | 90 | 4.5256 |
| No log | 16.0 | 96 | 4.4572 |
| No log | 17.0 | 102 | 4.4019 |
| No log | 18.0 | 108 | 4.3624 |
| No log | 19.0 | 114 | 4.3405 |
| No log | 20.0 | 120 | 4.3328 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
