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bart-large-xsum-samsum-finetuned-Final01-amazon-en-es
This model is a fine-tuned version of lidiya/bart-large-xsum-samsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1599
- Rouge1: 38.4206
- Rouge2: 15.7609
- Rougel: 23.9945
- Rougelsum: 24.7187
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: 5.6e-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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.4229 | 1.0 | 4 | 2.0031 | 41.2761 | 25.0089 | 31.9544 | 32.7518 |
| 0.75 | 2.0 | 8 | 2.4481 | 41.146 | 20.417 | 30.4728 | 32.3265 |
| 0.5953 | 3.0 | 12 | 2.4162 | 41.0474 | 15.8657 | 27.9829 | 27.9829 |
| 0.1989 | 4.0 | 16 | 2.6714 | 38.6171 | 17.8171 | 26.0529 | 26.0529 |
| 0.0773 | 5.0 | 20 | 3.0806 | 41.5577 | 20.3366 | 26.4372 | 26.3603 |
| 0.1156 | 6.0 | 24 | 3.1669 | 41.117 | 20.6181 | 26.4193 | 26.2302 |
| 0.0493 | 7.0 | 28 | 3.1599 | 38.4206 | 15.7609 | 23.9945 | 24.7187 |
| 0.0383 | 8.0 | 32 | 3.1599 | 38.4206 | 15.7609 | 23.9945 | 24.7187 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cpu
- Datasets 2.13.1
- Tokenizers 0.13.3
