bart-base-finetuned-1000data-Lp6
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6435
- Rouge1: 17.9248
- Rouge2: 8.8677
- Rougel: 17.057
- Rougelsum: 17.3191
- Gen Len: 21.0
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 450 | 1.8211 | 14.8581 | 7.3761 | 14.1781 | 14.4263 | 21.0 |
| 2.4645 | 2.0 | 900 | 1.7657 | 16.6816 | 7.6788 | 15.6467 | 16.0074 | 21.0 |
| 1.6382 | 3.0 | 1350 | 1.6435 | 17.9248 | 8.8677 | 17.057 | 17.3191 | 21.0 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
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facebook/bart-base