t5-small-v2
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2734
- Rouge1: 25.8039
- Rouge2: 7.8029
- Rougel: 17.9541
- Rougelsum: 17.9584
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: 128
- eval_batch_size: 128
- seed: 7
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.577 | 1.49 | 250 | 2.2480 | 26.1891 | 7.8964 | 17.9400 | 17.9370 |
| 2.5599 | 2.98 | 500 | 2.2617 | 26.2088 | 7.9532 | 18.3182 | 18.3326 |
| 2.5877 | 4.46 | 750 | 2.2734 | 25.8039 | 7.8029 | 17.9541 | 17.9584 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google-t5/t5-small