t5-large-v2
This model is a fine-tuned version of google-t5/t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7305
- Rouge1: 28.8944
- Rouge2: 10.3653
- Rougel: 20.1830
- Rougelsum: 20.1839
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: 48
- eval_batch_size: 64
- seed: 7
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
---|---|---|---|---|---|---|---|
2.0607 | 0.45 | 200 | 1.7285 | 29.5191 | 10.7426 | 20.4093 | 20.4053 |
1.925 | 0.9 | 400 | 1.7305 | 28.8944 | 10.3653 | 20.1830 | 20.1839 |
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-large