---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: News_classification_distilbert
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# News_classification_distilbert

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: 0.1243
- F1: 0.9757
- Acc: 0.9765

## 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: 16
- 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
- lr_scheduler_warmup_steps: 400
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     | Acc    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 0.1211        | 1.0   | 3868  | 0.0839          | 0.9736 | 0.9746 |
| 0.0506        | 2.0   | 7736  | 0.0941          | 0.9746 | 0.9756 |
| 0.0227        | 3.0   | 11604 | 0.1243          | 0.9757 | 0.9765 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3