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--- |
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base_model: vlsp-2023-vllm/hoa-1b4 |
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datasets: |
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- eli5_category |
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library_name: peft |
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license: bigscience-bloom-rail-1.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: lora_causalLM |
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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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# lora_causalLM |
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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 the eli5_category dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0427 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 203 | 3.0643 | |
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| No log | 2.0 | 406 | 3.0469 | |
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| 3.0375 | 3.0 | 609 | 3.0427 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
