| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: Qwen/Qwen2-1.5B |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: fine_tuned_eli5_balanced |
| | 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. --> |
| |
|
| | # fine_tuned_eli5_balanced |
| | |
| | This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0877 |
| | - Accuracy: 0.9782 |
| | |
| | ## 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: 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: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | | 0.4283 | 0.1064 | 100 | 0.2736 | 0.9031 | |
| | | 0.2571 | 0.2128 | 200 | 0.2150 | 0.9225 | |
| | | 0.1891 | 0.3191 | 300 | 0.1402 | 0.9408 | |
| | | 0.1541 | 0.4255 | 400 | 0.1498 | 0.9476 | |
| | | 0.1554 | 0.5319 | 500 | 0.1427 | 0.9434 | |
| | | 0.1291 | 0.6383 | 600 | 0.0966 | 0.9653 | |
| | | 0.1038 | 0.7447 | 700 | 0.0928 | 0.9656 | |
| | | 0.1007 | 0.8511 | 800 | 0.0870 | 0.9707 | |
| | | 0.1037 | 0.9574 | 900 | 0.0838 | 0.9725 | |
| | | 0.0563 | 1.0638 | 1000 | 0.1094 | 0.9749 | |
| | | 0.0319 | 1.1702 | 1100 | 0.1193 | 0.9746 | |
| | | 0.0541 | 1.2766 | 1200 | 0.0877 | 0.9782 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.49.0 |
| | - Pytorch 2.6.0+cu126 |
| | - Datasets 3.3.2 |
| | - Tokenizers 0.21.0 |
| | |
