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---
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
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