| | --- |
| | license: mit |
| | base_model: openai-community/gpt2-medium |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: cpp_and_text_gpt2 |
| | 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. --> |
| |
|
| | [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhenwu/code-text-pretraining/runs/ugelj4uj) |
| | # cpp_and_text_gpt2 |
| | |
| | This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.6778 |
| | - Accuracy: 0.1571 |
| | - Num Input Tokens Seen: 1941504 |
| | |
| | ## 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: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 2 |
| | - total_train_batch_size: 8 |
| | - total_eval_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.03 |
| | - num_epochs: 3.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | Input Tokens Seen | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:| |
| | | No log | 0 | 0 | 4.9861 | 0.2 | 0 | |
| | | 1.8815 | 0.6329 | 50 | 1.7072 | 0.1857 | 409600 | |
| | | 1.6129 | 1.2658 | 100 | 1.7499 | 0.1571 | 819200 | |
| | | 1.6363 | 1.8987 | 150 | 1.7443 | 0.1571 | 1228800 | |
| | | 1.5486 | 2.5316 | 200 | 1.6778 | 0.1571 | 1638400 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.43.2 |
| | - Pytorch 2.4.0 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
