t5-base-finetuned-samsum
This model is a fine-tuned version of t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4501
- Rouge1: 45.8583
- Rouge2: 21.8985
- Rougel: 38.3359
- Rougelsum: 42.3664
- Gen Len: 16.9181
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6016 | 1.0 | 3683 | 1.4501 | 45.8583 | 21.8985 | 38.3359 | 42.3664 | 16.9181 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3