---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- yahoo_answers_topics
metrics:
- accuracy
model-index:
- name: distilbert-yahoo
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: yahoo_answers_topics
      type: yahoo_answers_topics
      config: yahoo_answers_topics
      split: test
      args: yahoo_answers_topics
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.71235
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-yahoo

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the yahoo_answers_topics dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9117
- Accuracy: 0.7124

## 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
- training_steps: 30000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.0424        | 0.03  | 5000  | 1.0730          | 0.6706   |
| 1.0143        | 0.06  | 10000 | 1.0225          | 0.6793   |
| 0.9683        | 0.09  | 15000 | 0.9732          | 0.6950   |
| 0.8925        | 0.11  | 20000 | 0.9442          | 0.7038   |
| 0.9407        | 0.14  | 25000 | 0.9212          | 0.7090   |
| 0.9463        | 0.17  | 30000 | 0.9117          | 0.7124   |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0