Gyeongsang_model_
This model is a fine-tuned version of gogamza/kobart-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0064
- Bleu: 91.3913
- Gen Len: 13.3266
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0039 | 1.0 | 12910 | 0.0066 | 91.3315 | 13.3276 |
| 0.0033 | 2.0 | 25820 | 0.0062 | 91.4059 | 13.3258 |
| 0.0026 | 3.0 | 38730 | 0.0064 | 91.3913 | 13.3266 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for yomilimi/Gyeongsang_model
Base model
gogamza/kobart-base-v2