| --- |
| library_name: transformers |
| base_model: kartashoffv/news_topic_classification |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| model-index: |
| - name: news-classification-transformer |
| 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. --> |
|
|
| # news-classification-transformer |
|
|
| This model is a fine-tuned version of [kartashoffv/news_topic_classification](https://huggingface.co/kartashoffv/news_topic_classification) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 9.4277 |
| - Precision: 0.8168 |
| - Recall: 0.5947 |
| - Exact Match: 0.9989 |
|
|
| ## 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: 3.5e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 64 |
| - 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 |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Exact Match | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:-----------:| |
| | 8.4905 | 1.0 | 2139 | 10.5464 | 0.7943 | 0.5356 | 0.9988 | |
| | 7.7107 | 2.0 | 4278 | 9.5836 | 0.8179 | 0.5860 | 0.9989 | |
| | 7.2361 | 3.0 | 6417 | 9.4277 | 0.8168 | 0.5947 | 0.9989 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.46.3 |
| - Pytorch 2.4.0 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
|
|
