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bart-model2-0611-e4
This model is a fine-tuned version of theojolliffe/bart-paraphrase-v4-e1-feedback on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1594
- Rouge1: 60.6252
- Rouge2: 57.2694
- Rougel: 60.2575
- Rougelsum: 60.3721
- Gen Len: 20.0
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: 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.5809 | 1.0 | 624 | 0.3684 | 58.0755 | 49.7811 | 56.3216 | 56.4602 | 19.8485 |
| 0.2627 | 2.0 | 1248 | 0.2291 | 58.4775 | 54.4415 | 58.3879 | 58.1972 | 20.0 |
| 0.1537 | 3.0 | 1872 | 0.1848 | 60.3497 | 56.6674 | 60.1125 | 59.9956 | 20.0 |
| 0.1152 | 4.0 | 2496 | 0.1594 | 60.6252 | 57.2694 | 60.2575 | 60.3721 | 20.0 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
