license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- ag_news | |
metrics: | |
- accuracy | |
widget: | |
- text: Climate change has become an increasingly important concern among NATO countries | |
base_model: distilroberta-base | |
model-index: | |
- name: distilroberta-base-finetuned-topic-news | |
results: | |
- task: | |
type: text-classification | |
name: Text Classification | |
dataset: | |
name: ag_news | |
type: ag_news | |
config: default | |
split: train | |
args: default | |
metrics: | |
- type: accuracy | |
value: 0.9431578947368421 | |
name: Accuracy | |
<!-- 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 | |