---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: astronomer/Llama-3-8B-Instruct-GPTQ-4-Bit
model-index:
- name: agrobot-llama3-ft
  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. -->

# agrobot-llama3-ft

This model is a fine-tuned version of [astronomer/Llama-3-8B-Instruct-GPTQ-4-Bit](https://huggingface.co/astronomer/Llama-3-8B-Instruct-GPTQ-4-Bit) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2823

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9019        | 0.99  | 102  | 1.3273          |
| 1.2748        | 2.0   | 205  | 1.2789          |
| 1.2161        | 3.0   | 308  | 1.2589          |
| 1.169         | 4.0   | 411  | 1.2442          |
| 1.1345        | 4.99  | 513  | 1.2419          |
| 1.082         | 6.0   | 616  | 1.2458          |
| 1.0441        | 7.0   | 719  | 1.2556          |
| 1.0127        | 8.0   | 822  | 1.2673          |
| 0.9982        | 8.99  | 924  | 1.2744          |
| 0.9672        | 9.93  | 1020 | 1.2823          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2