metadata
library_name: transformers
base_model: kartashoffv/news_topic_classification
tags:
- generated_from_trainer
metrics:
- precision
- recall
model-index:
- name: news-classification-transformer
results: []
news-classification-transformer
This model is a fine-tuned version of 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 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3