---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: llama3.2-1b-rumour-samples
  results: []
---

<!-- 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. -->

# llama3.2-1b-rumour-samples

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0669
- Accuracy: 0.5449

## 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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 7788
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.7912        | 0.9967 | 149  | 2.3079          | 0.3846   |
| 1.7606        | 1.9967 | 298  | 2.5560          | 0.4968   |
| 1.2727        | 2.9967 | 447  | 1.7913          | 0.5689   |
| 0.8097        | 3.9967 | 596  | 2.2204          | 0.5401   |
| 0.5357        | 4.9967 | 745  | 2.0648          | 0.5737   |
| 0.3045        | 5.9967 | 894  | 1.9878          | 0.5721   |
| 0.2275        | 6.9967 | 1043 | 2.1418          | 0.5401   |
| 0.1082        | 7.9967 | 1192 | 2.0669          | 0.5449   |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3