| | --- |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - eli5_category |
| | model-index: |
| | - name: custom_bert |
| | 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. --> |
| |
|
| | # custom_bert |
| | |
| | This model is a fine-tuned version of [](https://huggingface.co/) on the eli5_category dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 6.7038 |
| |
|
| | ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 7.2917 | 1.0 | 1326 | 6.9082 | |
| | | 6.8038 | 2.0 | 2652 | 6.8164 | |
| | | 6.7413 | 3.0 | 3978 | 6.7508 | |
| | | 6.6956 | 4.0 | 5304 | 6.7371 | |
| | | 6.6856 | 5.0 | 6630 | 6.7080 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.42.4 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
