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  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ base_model: Qwen/Qwen2.5-0.5B-Instruct
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+ library_name: peft
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+ license: apache-2.0
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: Neuria_ES-SQL_Formatted_Qwen_0.5B-19112024-cosino
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/neuria99/Qwen%200.5B%20it%20text2SQL%20Formatted%20by%20Neuria/runs/wxbgewsc)
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+ # Neuria_ES-SQL_Formatted_Qwen_0.5B-19112024-cosino
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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 an unknown dataset.
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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: 0.0002
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 4
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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: 20
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.0
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+ - Transformers 4.44.1
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+ - Pytorch 2.4.1
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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