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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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<!-- 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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[<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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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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## 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: 0.0002 |
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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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### Framework versions |
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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 |
