---
license: bigscience-bloom-rail-1.0
base_model: vlsp-2023-vllm/hoa-7b
tags:
- generated_from_trainer
model-index:
- name: hoa-7b-test-lora
  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. -->

# hoa-7b-test-lora

This model is a fine-tuned version of [vlsp-2023-vllm/hoa-7b](https://huggingface.co/vlsp-2023-vllm/hoa-7b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 12.4488

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 12.7539       | 1.0   | 401  | 12.4488         |
| 12.8935       | 2.0   | 802  | 12.4488         |
| 12.9284       | 3.0   | 1203 | 12.4488         |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.14.1