model
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: 2.5554
- Rouge1: 0.1373
- Rouge2: 0.0523
- Rougel: 0.1144
- Rougelsum: 0.1143
- 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: 2e-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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 352 | 2.9188 | 0.1238 | 0.0477 | 0.1066 | 0.1067 | 19.0 |
| 3.715 | 2.0 | 704 | 2.6310 | 0.1338 | 0.0523 | 0.1135 | 0.1136 | 19.0 |
| 2.8749 | 3.0 | 1056 | 2.5698 | 0.1349 | 0.0502 | 0.1122 | 0.1121 | 19.0 |
| 2.8749 | 4.0 | 1408 | 2.5554 | 0.1373 | 0.0523 | 0.1144 | 0.1143 | 19.0 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
google-t5/t5-small