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--- |
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license: mit |
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base_model: distilgpt2 |
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tags: |
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- generated_from_trainer |
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- code |
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model-index: |
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- name: distilgpt2-finetuned-python_code_instructions_18k_alpaca |
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results: [] |
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datasets: |
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- iamtarun/python_code_instructions_18k_alpaca |
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language: |
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- en |
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metrics: |
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- accuracy |
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library_name: transformers |
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pipeline_tag: text-generation |
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new_version: distilbert/distilgpt2 |
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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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# distilgpt2-finetuned-python_code_instructions_18k_alpaca |
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5063 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.7264 | 1.0 | 3861 | 1.5890 | |
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| 1.6046 | 2.0 | 7722 | 1.5214 | |
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| 1.5359 | 3.0 | 11583 | 1.5063 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
