---
library_name: peft
license: llama3.1
base_model: allenai/Llama-3.1-Tulu-3-8B
tags:
- base_model:adapter:allenai/Llama-3.1-Tulu-3-8B
- llama-factory
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: Llama-3.1-Tulu-3-8B-SFT-LoRA-capybara
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-3.1-Tulu-3-8B-SFT-LoRA-capybara

This model is a fine-tuned version of [allenai/Llama-3.1-Tulu-3-8B](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B) on the capybara_sft_train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9697

## 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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9903        | 0.5392 | 200  | 0.9859          |
| 0.9931        | 1.0782 | 400  | 0.9742          |
| 0.9973        | 1.6174 | 600  | 0.9701          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.4.0
- Datasets 4.0.0
- Tokenizers 0.22.2