---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
datasets:
- LabHC/bias_in_bios
metrics:
- accuracy
model-index:
- name: test
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: LabHC/bias_in_bios
      type: LabHC/bias_in_bios
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.5230967495584936
---

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

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the LabHC/bias_in_bios dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6568
- Accuracy: 0.5231

## 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: 1e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 142  | 2.6568          | 0.5231   |


### Framework versions

- Transformers 5.0.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1