saadhyam_email_flan_t5_base
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0483
- Rouge1: 98.4755
- Rouge2: 97.4661
- Rougel: 98.4741
- Rougelsum: 98.4721
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.0800 | 1.0 | 2021 | 0.0527 | 98.4683 | 97.4687 | 98.4636 | 98.4643 |
| 0.0706 | 2.0 | 4042 | 0.0489 | 98.4788 | 97.4445 | 98.4441 | 98.4451 |
| 0.0672 | 3.0 | 6063 | 0.0483 | 98.4755 | 97.4661 | 98.4741 | 98.4721 |
Framework versions
- Transformers 5.15.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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Base model
google/flan-t5-base