transformers pytorch roberta text-classification generated_from_trainer dataset:ag_news base_model:judy93536/distilroberta-pr200k-ep20 base_model:finetune:judy93536/distilroberta-pr200k-ep20 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
base_model: judy93536/distilroberta-pr200k-ep20
datasets:
- ag_news
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: distilroberta-pr200k-ep20-ag_news
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: ag_news
      type: ag_news
      config: default
      split: test
      args: default
    metrics:
    - type: accuracy
      value: 0.9435526315789474
      name: Accuracy
---

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# distilroberta-pr200k-ep20-ag_news

This model is a fine-tuned version of [judy93536/distilroberta-pr200k-ep20](https://huggingface.co/judy93536/distilroberta-pr200k-ep20) on the ag_news dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1707
- Accuracy: 0.9436

## 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: 4.545606711088675e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.28
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1821        | 1.0   | 3750 | 0.1707          | 0.9436   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
