| | --- |
| | library_name: peft |
| | license: apache-2.0 |
| | base_model: google/mt5-small |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: Arabic_CrossPrompt_FineTuningMT5_noAug_TestTask1_organization |
| | 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. --> |
| |
|
| | # Arabic_CrossPrompt_FineTuningMT5_noAug_TestTask1_organization |
| | |
| | This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 60.2188 |
| | |
| | ## 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: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.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: 1 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | No log | 0.0107 | 2 | 60.25 | |
| | | No log | 0.0214 | 4 | 60.2188 | |
| | | No log | 0.0321 | 6 | 60.2188 | |
| | | No log | 0.0428 | 8 | 60.2188 | |
| | | No log | 0.0535 | 10 | 60.2188 | |
| | | No log | 0.0642 | 12 | 60.2188 | |
| | | No log | 0.0749 | 14 | 60.2188 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.14.0 |
| | - Transformers 4.47.1 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
