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codellama-finetune

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  1. README.md +26 -0
README.md CHANGED
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  license: llama2
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  base_model: codellama/CodeLlama-7b-hf
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: lora-fine-tuning-llama2-SQL-lora-codellama
@@ -14,6 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # lora-fine-tuning-llama2-SQL-lora-codellama
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  This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
 
 
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  ## Model description
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@@ -43,6 +47,28 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_ratio: 0.03
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  - num_epochs: 1
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  ### Framework versions
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  - Transformers 4.35.2
 
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  license: llama2
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  base_model: codellama/CodeLlama-7b-hf
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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: lora-fine-tuning-llama2-SQL-lora-codellama
 
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  # lora-fine-tuning-llama2-SQL-lora-codellama
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  This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5720
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  ## Model description
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  - lr_scheduler_warmup_ratio: 0.03
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  - num_epochs: 1
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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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+ | 2.7803 | 0.06 | 5 | 2.5059 |
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+ | 1.2647 | 0.12 | 10 | 1.1731 |
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+ | 0.8026 | 0.18 | 15 | 0.8834 |
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+ | 0.6482 | 0.24 | 20 | 0.8281 |
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+ | 0.8146 | 0.3 | 25 | 0.7858 |
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+ | 0.7458 | 0.36 | 30 | 0.7275 |
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+ | 0.5377 | 0.42 | 35 | 0.6520 |
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+ | 0.5659 | 0.48 | 40 | 0.6560 |
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+ | 0.6104 | 0.54 | 45 | 0.6101 |
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+ | 0.6253 | 0.6 | 50 | 0.6024 |
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+ | 0.4878 | 0.66 | 55 | 0.5891 |
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+ | 0.4777 | 0.72 | 60 | 0.5830 |
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+ | 0.634 | 0.78 | 65 | 0.5831 |
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+ | 0.5562 | 0.84 | 70 | 0.5771 |
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+ | 0.4696 | 0.9 | 75 | 0.5734 |
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+ | 0.4193 | 0.96 | 80 | 0.5720 |
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+
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  ### Framework versions
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  - Transformers 4.35.2