---
library_name: transformers
license: other
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: agenttuning_v4_15k_tag4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# agenttuning_v4_15k_tag4

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the agenttuning_v4_15k_tag4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4036

## 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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5004        | 0.4237 | 100  | 0.4270          |
| 0.4848        | 0.8475 | 200  | 0.4059          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.8.0+cu128
- Datasets 3.1.0
- Tokenizers 0.20.3