---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-topic-classification_4
  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. -->

# distilroberta-topic-classification_4

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5428
- Acc: 0.7557

## 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: 32
- eval_batch_size: 32
- seed: 12345
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 16
- num_epochs: 20
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Acc    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.6261        | 1.0   | 564  | 3.6045          | 0.6610 |
| 3.5223        | 2.0   | 1128 | 3.5326          | 0.7111 |
| 3.4204        | 3.0   | 1692 | 3.5040          | 0.7322 |
| 3.3446        | 4.0   | 2256 | 3.4980          | 0.7400 |
| 3.2737        | 5.0   | 2820 | 3.4872          | 0.7539 |
| 3.2533        | 6.0   | 3384 | 3.4967          | 0.7555 |
| 3.2059        | 7.0   | 3948 | 3.5038          | 0.7613 |
| 3.1697        | 8.0   | 4512 | 3.5258          | 0.7537 |
| 3.1439        | 9.0   | 5076 | 3.5311          | 0.7573 |
| 3.1426        | 10.0  | 5640 | 3.5334          | 0.7544 |
| 3.1325        | 11.0  | 6204 | 3.5311          | 0.7562 |
| 3.1165        | 12.0  | 6768 | 3.5428          | 0.7557 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0