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---
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
should probably proofread and complete it, then remove this comment. -->
# 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 |