plbart-finetuned-nora
This model is a fine-tuned version of uclanlp/plbart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6900
- Bleu: 0.0000
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: 1
- eval_batch_size: 1
- 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 | Bleu |
|---|---|---|---|---|
| 1.1919 | 1.0 | 918 | 0.7175 | 0.0000 |
| 0.5715 | 2.0 | 1836 | 0.6900 | 0.0000 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
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