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--- |
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library_name: transformers |
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license: other |
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base_model: Qwen/Qwen2.5-0.5B-Instruct |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: reranker_continuous_filt_train |
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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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# reranker_continuous_filt_train |
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the reranker_continuous_filt_train dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2805 |
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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: 1e-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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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 8 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 0.2895 | 0.1000 | 2016 | 0.3479 | |
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| 0.2891 | 0.2000 | 4032 | 0.3320 | |
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| 0.396 | 0.3000 | 6048 | 0.3245 | |
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| 0.2693 | 0.4000 | 8064 | 0.3080 | |
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| 0.2712 | 0.5000 | 10080 | 0.3056 | |
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| 0.2738 | 0.6000 | 12096 | 0.2925 | |
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| 0.1629 | 0.7000 | 14112 | 0.2880 | |
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| 0.2761 | 0.8000 | 16128 | 0.2839 | |
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| 0.1861 | 0.9000 | 18144 | 0.2813 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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