| |
|
| | --- |
| | |
| | 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) |
| |
|
| |
|
| | # 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 |
| |
|
| |
|
| | <!-- 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 |
| |
|
| | 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: 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 |
| |
|
| | | 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 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.39.3 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
