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README.md ADDED
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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-Coder-3B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable
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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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+ # qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable
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+
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-3B](https://huggingface.co/Qwen/Qwen2.5-Coder-3B) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0360
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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-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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+ - 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: linear
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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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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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+ | No log | 0 | 0 | 1.1655 |
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+ | 0.0294 | 1.0 | 4674 | 0.0353 |
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+ | 0.02 | 2.0 | 9348 | 0.0341 |
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+ | 0.0153 | 3.0 | 14022 | 0.0360 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.0
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+ - Pytorch 2.7.1+cu126
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
generation_config.json ADDED
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+ {
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+ "bos_token_id": 151643,
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+ "eos_token_id": 151643,
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+ "max_new_tokens": 2048,
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+ "transformers_version": "4.48.0"
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+ }
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