bart-finetuned-eli5_base_best
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1849
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3965 | 0.1 | 500 | 1.2495 |
| 1.3676 | 0.2 | 1000 | 1.2362 |
| 1.3024 | 0.3 | 1500 | 1.2294 |
| 1.2331 | 0.4 | 2000 | 1.2301 |
| 1.2476 | 0.5 | 2500 | 1.2266 |
| 1.2049 | 0.6 | 3000 | 1.2202 |
| 1.1811 | 0.7 | 3500 | 1.2857 |
| 1.2227 | 0.8 | 4000 | 1.2702 |
| 1.2629 | 0.9 | 4500 | 1.2206 |
| 1.1233 | 1.0 | 5000 | 1.2187 |
| 1.1995 | 1.1 | 5500 | 1.1957 |
| 1.0835 | 1.2 | 6000 | 1.2026 |
| 1.1033 | 1.3 | 6500 | 1.2250 |
| 1.127 | 1.4 | 7000 | 1.2091 |
| 1.0964 | 1.5 | 7500 | 1.1929 |
| 1.1321 | 1.6 | 8000 | 1.1827 |
| 1.051 | 1.7 | 8500 | 1.1791 |
| 1.054 | 1.8 | 9000 | 1.1926 |
| 1.0034 | 1.9 | 9500 | 1.1769 |
| 1.0645 | 2.0 | 10000 | 1.1849 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
facebook/bart-large