---
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
- generated_from_trainer
model-index:
- name: checkpoints
  results: []
datasets:
- gbharti/finance-alpaca
---

<!-- 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. -->

# checkpoints

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an [finance-alpaca](https://huggingface.co/datasets/gbharti/finance-alpaca) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3830

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use paged_adamw_32bit 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: 0.03
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8003        | 0.0029 | 50   | 1.7726          |
| 1.654         | 0.0059 | 100  | 1.6940          |
| 1.6105        | 0.0088 | 150  | 1.5665          |
| 1.4474        | 0.0118 | 200  | 1.4721          |
| 1.4677        | 0.0147 | 250  | 1.4386          |
| 1.3501        | 0.0176 | 300  | 1.4294          |
| 1.4011        | 0.0206 | 350  | 1.4220          |
| 1.4403        | 0.0235 | 400  | 1.4087          |
| 1.5017        | 0.0265 | 450  | 1.4170          |
| 1.2628        | 0.0294 | 500  | 1.3992          |
| 1.4797        | 0.0324 | 550  | 1.3977          |
| 1.4455        | 0.0353 | 600  | 1.3886          |
| 1.423         | 0.0382 | 650  | 1.3895          |
| 1.3616        | 0.0412 | 700  | 1.3945          |
| 1.3128        | 0.0441 | 750  | 1.3885          |
| 1.3983        | 0.0471 | 800  | 1.3946          |
| 1.3529        | 0.05   | 850  | 1.3834          |
| 1.3314        | 0.0529 | 900  | 1.3897          |
| 1.4412        | 0.0559 | 950  | 1.3831          |
| 1.305         | 0.0588 | 1000 | 1.3893          |


### Framework versions

- PEFT 0.13.3.dev0
- Transformers 4.47.0.dev0
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3