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--- |
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base_model: Qwen/Qwen2-7B |
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library_name: peft |
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license: apache-2.0 |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Qwen2_7B_Task2_semantic_pred |
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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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# Qwen2_7B_Task2_semantic_pred |
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This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co./Qwen/Qwen2-7B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5963 |
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- Accuracy: 0.8123 |
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- Precision: 0.8123 |
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- Recall: 0.8123 |
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- F1 score: 0.8123 |
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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: 0.0001 |
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- train_batch_size: 16 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 score | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:| |
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| 0.6405 | 0.5208 | 200 | 0.5790 | 0.7666 | 0.7666 | 0.7666 | 0.7666 | |
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| 0.4689 | 1.0417 | 400 | 0.9852 | 0.6649 | 0.6649 | 0.6649 | 0.6649 | |
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| 0.3635 | 1.5625 | 600 | 0.4249 | 0.8188 | 0.8188 | 0.8188 | 0.8188 | |
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| 0.3197 | 2.0833 | 800 | 0.7777 | 0.7353 | 0.7353 | 0.7353 | 0.7353 | |
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| 0.267 | 2.6042 | 1000 | 0.7223 | 0.7679 | 0.7679 | 0.7679 | 0.7679 | |
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| 0.2272 | 3.125 | 1200 | 0.4841 | 0.8201 | 0.8201 | 0.8201 | 0.8201 | |
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| 0.1848 | 3.6458 | 1400 | 0.4985 | 0.8227 | 0.8227 | 0.8227 | 0.8227 | |
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| 0.1744 | 4.1667 | 1600 | 0.6254 | 0.8044 | 0.8044 | 0.8044 | 0.8044 | |
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| 0.1402 | 4.6875 | 1800 | 0.5963 | 0.8123 | 0.8123 | 0.8123 | 0.8123 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.3.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
