| --- |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - matthews_correlation |
| model-index: |
| - name: llm_NLP |
| 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. --> |
|
|
| # llm_NLP |
| |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7458 |
| - Matthews Correlation: 0.4922 |
| |
| ## 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: 8.53919308272751e-06 |
| - train_batch_size: 8 |
| - eval_batch_size: 16 |
| - seed: 13 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
| | 0.5143 | 1.0 | 1069 | 0.4927 | 0.4359 | |
| | 0.3963 | 2.0 | 2138 | 0.4984 | 0.4814 | |
| | 0.3216 | 3.0 | 3207 | 0.6548 | 0.4980 | |
| | 0.2629 | 4.0 | 4276 | 0.7458 | 0.4922 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.0 |
| - Tokenizers 0.15.0 |
| |
