metadata
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
test
This model is a fine-tuned version of 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