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plbart-base-finetuned-src_fm_fc_ms_ff-to-test
This model is a fine-tuned version of uclanlp/plbart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2093
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: 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3796 | 1.0 | 1125 | 0.2741 |
| 0.2482 | 2.0 | 2250 | 0.2372 |
| 0.2077 | 3.0 | 3375 | 0.2200 |
| 0.1841 | 4.0 | 4500 | 0.2121 |
| 0.1704 | 5.0 | 5625 | 0.2093 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
