t5-small
This model is a fine-tuned version of Hafis123/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6031
- Rouge1: 25.6637
- Rouge2: 1.7799
- Rougel: 24.9379
- Rougelsum: 24.9695
- Gen Len: 9.311
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.8772 | 1.0 | 594 | 1.6031 | 25.6637 | 1.7799 | 24.9379 | 24.9695 | 9.311 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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