| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: topic_classification |
| | 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. --> |
| |
|
| | [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mlops-proj/my-amazing-project/runs/1di6dq34) |
| | # topic_classification |
| | |
| | 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: 2.3890 |
| | - Model Preparation Time: 0.0033 |
| | - Accuracy: 0.15 |
| | |
| | ## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - training_steps: 30 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | |
| | |:-------------:|:------:|:----:|:---------------:|:----------------------:|:--------:| |
| | | No log | 0.3846 | 5 | 2.3190 | 0.0033 | 0.15 | |
| | | No log | 0.7692 | 10 | 2.3612 | 0.0033 | 0.15 | |
| | | No log | 1.1538 | 15 | 2.3687 | 0.0033 | 0.15 | |
| | | No log | 1.5385 | 20 | 2.3841 | 0.0033 | 0.15 | |
| | | No log | 1.9231 | 25 | 2.3890 | 0.0033 | 0.15 | |
| | | No log | 2.3077 | 30 | 2.3890 | 0.0033 | 0.15 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.47.1 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| | |
