| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: datrix-text-classification-job_35666fe1 |
| 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. --> |
|
|
| # datrix-text-classification-job_35666fe1 |
| |
| 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: 0.2504 |
| - Accuracy: 0.94 |
| |
| ## 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: 16 |
| - eval_batch_size: 32 |
| - 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: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.7420 | 1.0 | 113 | 0.3796 | 0.935 | |
| | 0.3012 | 2.0 | 226 | 0.2669 | 0.93 | |
| | 0.1477 | 3.0 | 339 | 0.2515 | 0.93 | |
| | 0.0918 | 4.0 | 452 | 0.2729 | 0.925 | |
| | 0.0420 | 5.0 | 565 | 0.2504 | 0.94 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 5.9.0 |
| - Pytorch 2.12.0+cu130 |
| - Datasets 5.0.0 |
| - Tokenizers 0.22.2 |
|
|
