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README.md
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---
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license: bigscience-bloom-rail-1.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: vlsp-2023-vllm/hoa-1b4
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model-index:
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- name: hoa1b4_finetuned_kc_June25th
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# hoa1b4_finetuned_kc_June25th
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.4897
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 4e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.0194 | 1.0 | 788 | 0.8371 |
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| 0.6667 | 2.0 | 1576 | 0.6302 |
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| 0.4821 | 3.0 | 2364 | 0.5443 |
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| 0.3908 | 4.0 | 3152 | 0.5020 |
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| 0.3424 | 5.0 | 3940 | 0.4897 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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