T5
This model is a fine-tuned version of t5-base on an AMI dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 5.6994
- Rouge2: 1.2179
- Rougel: 4.4822
- Rougelsum: 4.5267
- Gen Len: 15.7143
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 0.9905 | 26 | nan | 5.6994 | 1.2179 | 4.4822 | 4.5267 | 15.7143 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for csb05/Flan-T5
Base model
google-t5/t5-base