| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: KGan31/Doha-Gen |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Doha-Gen-Stage2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Doha-Gen-Stage2 |
|
|
| This model is a fine-tuned version of [KGan31/Doha-Gen](https://huggingface.co/KGan31/Doha-Gen) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4216 |
|
|
| ## Model description |
|
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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|
| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - 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 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.1539 | 1.0 | 469 | 1.4882 | |
| | 3.0858 | 2.0 | 938 | 1.4550 | |
| | 2.9968 | 3.0 | 1407 | 1.4354 | |
| | 2.9461 | 4.0 | 1876 | 1.4252 | |
| | 2.9195 | 5.0 | 2345 | 1.4216 | |
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| ### Framework versions |
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| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.8.3 |
| - Tokenizers 0.22.2 |
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|
