t5-small-finetuned-firstsummary_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: 1.9675
- Rouge1: 38.436
- Rouge2: 19.7167
- Rougel: 34.9458
- Rougelsum: 34.9847
- Gen Len: 18.6429
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: 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 157 | 2.0213 | 37.5682 | 19.4809 | 34.3985 | 34.3188 | 18.4286 |
| No log | 2.0 | 314 | 1.9675 | 38.436 | 19.7167 | 34.9458 | 34.9847 | 18.6429 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for Ftmhd/t5-small-finetuned-firstsummary_news
Base model
google-t5/t5-small