| | --- |
| | license: apache-2.0 |
| | base_model: distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | - precision |
| | - recall |
| | model-index: |
| | - name: training |
| | 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. --> |
| |
|
| | # training |
| |
|
| | 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: 0.8713 |
| | - Accuracy: 0.5183 |
| | - F1: 0.5192 |
| | - Precision: 0.5219 |
| | - Recall: 0.5183 |
| |
|
| | ## 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: 20 |
| | - eval_batch_size: 20 |
| | - 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 | Accuracy | F1 | Precision | Recall | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | | No log | 1.0 | 66 | 0.7083 | 0.4970 | 0.4093 | 0.5891 | 0.4970 | |
| | | No log | 2.0 | 132 | 0.7447 | 0.4939 | 0.4486 | 0.5338 | 0.4939 | |
| | | No log | 3.0 | 198 | 0.7978 | 0.5 | 0.4814 | 0.5239 | 0.5 | |
| | | No log | 4.0 | 264 | 0.8450 | 0.5091 | 0.5100 | 0.5136 | 0.5091 | |
| | | No log | 5.0 | 330 | 0.8713 | 0.5183 | 0.5192 | 0.5219 | 0.5183 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.1+cu121 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| |
|
