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mbart-large-50-finetuned-sah-to-feat
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4514
- Bleu: 5.5821
- Gen Len: 199.0
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: 2e-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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 12.3174 | 1.0 | 24 | 6.7012 | 0.0148 | 199.0 |
| 5.2025 | 2.0 | 48 | 3.9396 | 0.0953 | 199.0 |
| 3.6977 | 3.0 | 72 | 2.1764 | 1.573 | 199.0 |
| 1.884 | 4.0 | 96 | 1.3887 | 3.5395 | 199.0 |
| 1.3753 | 5.0 | 120 | 0.9881 | 5.6111 | 199.0 |
| 0.9707 | 6.0 | 144 | 0.7452 | 5.2841 | 199.0 |
| 0.8008 | 7.0 | 168 | 0.6060 | 5.4831 | 199.0 |
| 0.6444 | 8.0 | 192 | 0.5174 | 5.4302 | 199.0 |
| 0.5689 | 9.0 | 216 | 0.4744 | 5.6898 | 199.0 |
| 0.5244 | 10.0 | 240 | 0.4514 | 5.5821 | 199.0 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3
