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t5basedfinedqlort5
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4117
- Rouge1: 46.3056
- Rouge2: 20.6246
- Rougel: 28.448
- Rougelsum: 42.0673
- Gen Len: 287.3879
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 335 | 2.4902 | 43.6655 | 19.1609 | 27.2675 | 39.7 | 266.3607 |
| 4.2482 | 2.0 | 670 | 2.4117 | 46.3056 | 20.6246 | 28.448 | 42.0673 | 287.3879 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for 12345deena/t5basedfinedqlort5
Base model
google-t5/t5-base