---
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- generated_from_trainer
base_model: vlsp-2023-vllm/hoa-1b4
model-index:
- name: fine_tune_demo_bloom1b4_21May_GPU3090_1
  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. -->

# fine_tune_demo_bloom1b4_21May_GPU3090_1

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: 1.0228

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.9391        | 1.0   | 7301  | 1.9037          |
| 1.7839        | 2.0   | 14602 | 1.7477          |
| 1.6477        | 3.0   | 21903 | 1.5917          |
| 1.5106        | 4.0   | 29204 | 1.4484          |
| 1.3768        | 5.0   | 36505 | 1.3232          |
| 1.274         | 6.0   | 43806 | 1.2213          |
| 1.1853        | 7.0   | 51107 | 1.1397          |
| 1.1569        | 8.0   | 58408 | 1.0790          |
| 1.097         | 9.0   | 65709 | 1.0400          |
| 1.0547        | 10.0  | 73010 | 1.0228          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 1.13.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1