byt5_small_finetune_summarize_main_model
This model is a fine-tuned version of google/t5-v1_1-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5942
- Rouge1: 7.0544
- Rouge2: 0.4256
- Rougel: 6.3609
- Rougelsum: 6.7021
- Gen Len: 97.4725
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 6.7669 | 1.0 | 1842 | 3.5277 | 4.2672 | 0.0086 | 4.1248 | 4.1938 | 98.8828 |
| 5.0736 | 2.0 | 3684 | 3.0404 | 4.6185 | 0.0587 | 4.4003 | 4.5195 | 98.6239 |
| 4.4296 | 3.0 | 5526 | 2.7410 | 5.3592 | 0.058 | 5.0985 | 5.2166 | 98.3321 |
| 4.1461 | 4.0 | 7368 | 2.6389 | 6.371 | 0.3169 | 5.9564 | 6.153 | 97.2772 |
| 3.9633 | 5.0 | 9210 | 2.5942 | 7.0544 | 0.4256 | 6.3609 | 6.7021 | 97.4725 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/t5-v1_1-small