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--- |
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license: llama2 |
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base_model: codellama/CodeLlama-7b-Instruct-hf |
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tags: |
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- generated_from_trainer |
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datasets: |
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- tmnam20/InstructNSText2SQL |
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model-index: |
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- name: codellama_instruct_pt_text2sql |
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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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# codellama_instruct_pt_text2sql |
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This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the tmnam20/InstructNSText2SQL dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0150 |
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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: 0.0003 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.06 |
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- num_epochs: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.0693 | 0.22 | 2000 | 0.0589 | |
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| 0.047 | 0.45 | 4000 | 0.0396 | |
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| 0.0364 | 0.67 | 6000 | 0.0307 | |
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| 0.0311 | 0.89 | 8000 | 0.0278 | |
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| 0.0251 | 1.11 | 10000 | 0.0241 | |
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| 0.0243 | 1.34 | 12000 | 0.0228 | |
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| 0.0227 | 1.56 | 14000 | 0.0223 | |
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| 0.0212 | 1.78 | 16000 | 0.0201 | |
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| 0.0202 | 2.01 | 18000 | 0.0182 | |
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| 0.016 | 2.23 | 20000 | 0.0184 | |
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| 0.0156 | 2.45 | 22000 | 0.0179 | |
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| 0.015 | 2.67 | 24000 | 0.0173 | |
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| 0.0147 | 2.9 | 26000 | 0.0165 | |
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| 0.0112 | 3.12 | 28000 | 0.0165 | |
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| 0.0109 | 3.34 | 30000 | 0.0161 | |
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| 0.0109 | 3.56 | 32000 | 0.0155 | |
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| 0.0105 | 3.79 | 34000 | 0.0152 | |
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| 0.0104 | 4.01 | 36000 | 0.0150 | |
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| 0.0077 | 4.23 | 38000 | 0.0158 | |
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| 0.0078 | 4.46 | 40000 | 0.0151 | |
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| 0.0076 | 4.68 | 42000 | 0.0150 | |
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| 0.0077 | 4.9 | 44000 | 0.0150 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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