| | --- |
| | license: mit |
| | base_model: gpt2 |
| | tags: |
| | - code-completion |
| | - generated_from_trainer |
| | model-index: |
| | - name: codeparrot-ds |
| | 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. --> |
| |
|
| | # codeparrot-ds |
| |
|
| | This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.9622 |
| |
|
| | ## 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: 0.0005 |
| | - train_batch_size: 128 |
| | - eval_batch_size: 128 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 1024 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 1000 |
| | - num_epochs: 1 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 6.5115 | 0.15 | 200 | 4.8032 | |
| | | 4.3012 | 0.3 | 400 | 3.6027 | |
| | | 3.3162 | 0.45 | 600 | 2.8147 | |
| | | 2.742 | 0.6 | 800 | 2.4321 | |
| | | 2.4234 | 0.75 | 1000 | 2.2029 | |
| | | 2.1911 | 0.9 | 1200 | 1.9622 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.0 |
| | - Pytorch 2.1.0a0+29c30b1 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
