t5-small-finetuned-2024-03-21
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-20 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9005
- Rouge1: 32.5532
- Rouge2: 17.9983
- Rougel: 28.9441
- Rougelsum: 29.5273
- Gen Len: 18.4722
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: 4e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.7218 | 1.0 | 286 | 1.9005 | 32.5532 | 17.9983 | 28.9441 | 29.5273 | 18.4722 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2