t5-small-finetuned-cnn-news
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2973
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: 0.00056
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5503 | 1.0 | 718 | 2.2792 |
| 1.7482 | 2.0 | 1436 | 2.2259 |
| 1.5977 | 3.0 | 2154 | 2.2442 |
| 1.4859 | 4.0 | 2872 | 2.2820 |
| 1.4016 | 5.0 | 3590 | 2.2973 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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Model tree for spoorthij27/t5-small-finetuned-cnn-news
Base model
google-t5/t5-small