| | --- |
| | license: llama2 |
| | base_model: codellama/CodeLlama-7b-Instruct-hf |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - tmnam20/InstructNSText2SQL |
| | model-index: |
| | - name: codellama_instruct_pt_text2sql |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # codellama_instruct_pt_text2sql |
| | |
| | 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. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0150 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0003 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.06 |
| | - num_epochs: 5.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 0.0693 | 0.22 | 2000 | 0.0589 | |
| | | 0.047 | 0.45 | 4000 | 0.0396 | |
| | | 0.0364 | 0.67 | 6000 | 0.0307 | |
| | | 0.0311 | 0.89 | 8000 | 0.0278 | |
| | | 0.0251 | 1.11 | 10000 | 0.0241 | |
| | | 0.0243 | 1.34 | 12000 | 0.0228 | |
| | | 0.0227 | 1.56 | 14000 | 0.0223 | |
| | | 0.0212 | 1.78 | 16000 | 0.0201 | |
| | | 0.0202 | 2.01 | 18000 | 0.0182 | |
| | | 0.016 | 2.23 | 20000 | 0.0184 | |
| | | 0.0156 | 2.45 | 22000 | 0.0179 | |
| | | 0.015 | 2.67 | 24000 | 0.0173 | |
| | | 0.0147 | 2.9 | 26000 | 0.0165 | |
| | | 0.0112 | 3.12 | 28000 | 0.0165 | |
| | | 0.0109 | 3.34 | 30000 | 0.0161 | |
| | | 0.0109 | 3.56 | 32000 | 0.0155 | |
| | | 0.0105 | 3.79 | 34000 | 0.0152 | |
| | | 0.0104 | 4.01 | 36000 | 0.0150 | |
| | | 0.0077 | 4.23 | 38000 | 0.0158 | |
| | | 0.0078 | 4.46 | 40000 | 0.0151 | |
| | | 0.0076 | 4.68 | 42000 | 0.0150 | |
| | | 0.0077 | 4.9 | 44000 | 0.0150 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.34.0.dev0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| | |
