check
This model is a fine-tuned version of facebook/bart-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4940
- Rouge1: 49.3148
- Rouge2: 25.6823
- Rougel: 42.1237
- Rougelsum: 45.6989
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.841 | 1.0 | 1842 | 1.4940 | 49.3148 | 25.6823 | 42.1237 | 45.6989 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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