| | --- |
| | license: apache-2.0 |
| | base_model: distilbert/distilbert-base-multilingual-cased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: distilbert-multi-finetuning |
| | 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. --> |
| |
|
| | # distilbert-multi-finetuning |
| |
|
| | This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8003 |
| | - Accuracy: 0.8017 |
| | - F1: 0.7994 |
| |
|
| | ## 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: 5e-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 |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:------:|:---------------:|:--------:|:------:| |
| | | 0.9844 | 1.0 | 65741 | 1.0179 | 0.7508 | 0.7414 | |
| | | 1.0829 | 2.0 | 131482 | 0.9029 | 0.7744 | 0.7687 | |
| | | 0.5999 | 3.0 | 197223 | 0.8359 | 0.7900 | 0.7870 | |
| | | 0.4741 | 4.0 | 262964 | 0.8003 | 0.8017 | 0.7994 | |
| | | 0.7136 | 5.0 | 328705 | 0.8279 | 0.8060 | 0.8041 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.43.3 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
