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|
| --- |
| |
| license: apache-2.0 |
| base_model: distilgpt2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: distilgpt2-finetuned-python_code_instructions_18k_alpaca |
| results: [] |
| datasets: |
| - iamtarun/python_code_instructions_18k_alpaca |
| language: |
| - en |
| metrics: |
| - accuracy |
| library_name: transformers |
| pipeline_tag: text-generation |
|
|
| --- |
| |
| [](https://hf.co/QuantFactory) |
|
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|
|
| # QuantFactory/distilgpt2-finetuned-python_code_instructions_18k_alpaca-GGUF |
| This is quantized version of [Vishaltiwari2019/distilgpt2-finetuned-python_code_instructions_18k_alpaca](https://huggingface.co/Vishaltiwari2019/distilgpt2-finetuned-python_code_instructions_18k_alpaca) created using llama.cpp |
|
|
| # Original Model Card |
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|
| <!-- 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. --> |
|
|
| # distilgpt2-finetuned-python_code_instructions_18k_alpaca |
|
|
| This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5063 |
|
|
| ## 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 |
|
|
| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 1.7264 | 1.0 | 3861 | 1.5890 | |
| | 1.6046 | 2.0 | 7722 | 1.5214 | |
| | 1.5359 | 3.0 | 11583 | 1.5063 | |
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|
| ### Framework versions |
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|
| - Transformers 4.39.3 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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|
