t5-small-finetuned-xsum
This model is a fine-tuned version of t5-small on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.4229
- Rouge1: 29.1042
- Rouge2: 8.3068
- Rougel: 22.9912
- Rougelsum: 22.9923
- Gen Len: 18.8182
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
2.676 | 1.0 | 12753 | 2.4477 | 28.6585 | 8.031 | 22.5756 | 22.5754 | 18.8202 |
2.6335 | 2.0 | 25506 | 2.4229 | 29.1042 | 8.3068 | 22.9912 | 22.9923 | 18.8182 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
- Downloads last month
- 0