| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: outputs |
| 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. --> |
|
|
| # outputs |
|
|
| This model is a fine-tuned version of [Mahmoud22/my-awesome-model](https://huggingface.co/Mahmoud22/my-awesome-model) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0136 |
|
|
| ## 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 |
|
|
| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 8e-05 |
| - train_batch_size: 44 |
| - eval_batch_size: 88 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 352 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 0.98 | 23 | 0.0138 | |
| | No log | 1.98 | 46 | 0.0136 | |
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| ### Framework versions |
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|
| - Transformers 4.26.1 |
| - Pytorch 1.13.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.2 |
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|
