practica8-summarization-es
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.3185
- Rouge1: 7.3869
- Rouge2: 1.2398
- Rougel: 7.1475
- Rougelsum: 6.9968
- Gen Len: 19.99
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 9.2319 | 1.0 | 88 | 8.5049 | 10.1491 | 2.2554 | 9.1024 | 9.185 | 19.8 |
| 8.6670 | 2.0 | 176 | 8.3416 | 7.8367 | 2.0635 | 7.7098 | 7.7159 | 20.0 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2
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Base model
google/flan-t5-small