---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: astronomer/Llama-3-8B-Instruct-GPTQ-4-Bit
model-index:
- name: agrobot-llama3-0.2-ft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# agrobot-llama3-0.2-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: 0.4271

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0139        | 0.99  | 102  | 0.4580          |
| 0.4463        | 2.0   | 205  | 0.4415          |
| 0.4292        | 3.0   | 308  | 0.4318          |
| 0.4159        | 4.0   | 411  | 0.4266          |
| 0.4063        | 4.99  | 513  | 0.4232          |
| 0.3898        | 6.0   | 616  | 0.4222          |
| 0.3778        | 7.0   | 719  | 0.4232          |
| 0.3672        | 8.0   | 822  | 0.4240          |
| 0.3617        | 8.99  | 924  | 0.4264          |
| 0.3503        | 9.93  | 1020 | 0.4271          |


### Framework versions

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