---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilroberta-topic-classification_5
  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_5

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: 2.7686
- F1: 0.6337

## 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: 10
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 2.6113        | 1.0   | 1305  | 2.6631          | 0.5832 |
| 2.4032        | 2.0   | 2610  | 2.6335          | 0.5943 |
| 2.3245        | 3.0   | 3915  | 2.6132          | 0.6196 |
| 2.2142        | 4.0   | 5220  | 2.6438          | 0.6226 |
| 2.0364        | 5.0   | 6525  | 2.6559          | 0.6323 |
| 2.03          | 6.0   | 7830  | 2.7057          | 0.6282 |
| 1.9461        | 7.0   | 9135  | 2.7222          | 0.6325 |
| 1.8751        | 8.0   | 10440 | 2.7435          | 0.6302 |
| 1.8463        | 9.0   | 11745 | 2.7668          | 0.6329 |
| 1.9001        | 10.0  | 13050 | 2.7686          | 0.6337 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0