results
This model is a fine-tuned version of paust/pko-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5688
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch 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 |
|---|---|---|---|
| No log | 1.0 | 332 | 0.6109 |
| 2.7304 | 2.0 | 664 | 0.5697 |
| 2.7304 | 3.0 | 996 | 0.5688 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.0
- Datasets 3.0.2
- Tokenizers 0.20.1
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Model tree for gnmskel/results
Base model
paust/pko-t5-base