---
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- generated_from_trainer
base_model: vlsp-2023-vllm/hoa-1b4
model-index:
- name: hoa1b4_finetuned_kc_June25th
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hoa1b4_finetuned_kc_June25th

This model is a fine-tuned version of [vlsp-2023-vllm/hoa-1b4](https://huggingface.co/vlsp-2023-vllm/hoa-1b4) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4897

## 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: 4e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0194        | 1.0   | 788  | 0.8371          |
| 0.6667        | 2.0   | 1576 | 0.6302          |
| 0.4821        | 3.0   | 2364 | 0.5443          |
| 0.3908        | 4.0   | 3152 | 0.5020          |
| 0.3424        | 5.0   | 3940 | 0.4897          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1