t5-small-cover-letter-generation
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5846
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9425 | 1.0 | 204 | 0.8239 |
| 0.8782 | 2.0 | 408 | 0.6708 |
| 0.7701 | 3.0 | 612 | 0.6146 |
| 0.7245 | 4.0 | 816 | 0.5911 |
| 0.7069 | 5.0 | 1020 | 0.5846 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.8.0
- Datasets 4.0.0
- Tokenizers 0.21.4
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Model tree for Ovalround/t5-small-cover-letter-generation
Base model
google-t5/t5-small