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--- |
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base_model: ../Baichuan2-7B-Chat |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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model-index: |
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- name: hc3zh |
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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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# hc3zh |
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This model is a fine-tuned version of [../Baichuan2-7B-Chat](https://huggingface.co/../Baichuan2-7B-Chat) on the hc3zh dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0150 |
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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: 5e-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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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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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| 0.0199 | 0.42 | 500 | 0.0105 | |
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| 0.0011 | 0.85 | 1000 | 0.0118 | |
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| 0.0001 | 1.27 | 1500 | 0.0110 | |
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| 0.0143 | 1.7 | 2000 | 0.0135 | |
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| 0.0001 | 2.12 | 2500 | 0.0129 | |
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| 0.0001 | 2.55 | 3000 | 0.0145 | |
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| 0.002 | 2.97 | 3500 | 0.0150 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.13.2 |
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