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Delete entity_extraction_new

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entity_extraction_new/README.md DELETED
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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: entity_extraction_new
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- results: []
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- ---
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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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-
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- # entity_extraction_new
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-
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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 dragin_entity_extraction dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.0370
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 5e-06
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- - train_batch_size: 28
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- - eval_batch_size: 32
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- - seed: 42
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- - distributed_type: multi-GPU
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 56
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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: 0.1
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- - num_epochs: 2.0
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 0.0486 | 0.4240 | 300 | 0.0476 |
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- | 0.04 | 0.8481 | 600 | 0.0403 |
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- | 0.0221 | 1.2714 | 900 | 0.0397 |
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- | 0.0216 | 1.6954 | 1200 | 0.0378 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.57.1
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- - Pytorch 2.5.1+cu121
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- - Datasets 4.0.0
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- - Tokenizers 0.22.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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