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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- ag_news
metrics:
- accuracy
model-index:
- name: distilroberta-base-finetuned-topic-news
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: ag_news
type: ag_news
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9431578947368421
widget:
- text: "Climate change has become an increasingly important concern among NATO countries"
---
<!-- 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-base-finetuned-topic-news
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the ag_news dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2729
- Accuracy: 0.9432
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2661 | 1.0 | 15000 | 0.2656 | 0.9372 |
| 0.2032 | 2.0 | 30000 | 0.2439 | 0.9411 |
| 0.1516 | 3.0 | 45000 | 0.2682 | 0.9426 |
| 0.108 | 4.0 | 60000 | 0.2729 | 0.9432 |
### Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
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