| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: distilbert/distilroberta-base |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - eli5_category |
| | model-index: |
| | - name: 25S2_awesome_eli5_mlm_model |
| | 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. --> |
| |
|
| | # 25S2_awesome_eli5_mlm_model |
| |
|
| | This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the eli5_category dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.0235 |
| | |
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - 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: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.7494 | 1.0 | 1330 | 2.1080 | |
| | | 1.902 | 2.0 | 2660 | 2.0640 | |
| | | 1.9937 | 3.0 | 3990 | 2.0054 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.56.0 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.22.1 |
| |
|
