t5-small-finetuned-rahul-summariza1
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8150
- Rouge1: 27.4177
- Rouge2: 21.7327
- Rougel: 25.5996
- Rougelsum: 26.7326
- Gen Len: 19.0
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.1387 | 1.0 | 16 | 0.8518 | 28.3651 | 21.9282 | 26.1118 | 27.2351 | 19.0 |
| 0.9637 | 2.0 | 32 | 0.8150 | 27.4177 | 21.7327 | 25.5996 | 26.7326 | 19.0 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2