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--- |
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license: afl-3.0 |
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datasets: |
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- setfunctionenvironment/testnew |
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language: |
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- en |
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metrics: |
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- accuracy |
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--- |
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Model Card for fine-tuned-gpt2-wordpress |
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This is a fine-tuned GPT-2 model on a WordPress-related dataset. |
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Model Description |
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This model is a fine-tuned version of the GPT-2 model, a transformer-based language model developed by OpenAI. It has been further trained on a dataset related to WordPress, with the goal of generating text relevant to WordPress queries, concepts, or tasks. |
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Intended Use |
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This model is intended for text generation tasks within the domain of WordPress. This could include: |
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Generating responses to WordPress-related questions. |
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Creating content snippets for WordPress websites. |
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Assisting in writing documentation or tutorials related to WordPress. |
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Exploring and generating ideas for WordPress themes, plugins, or features. |
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This model is not intended for: |
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Generating harmful, biased, or offensive content. |
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Deployment in critical applications without further fine-tuning and rigorous evaluation. |
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Generating content outside of the WordPress domain. |
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Training Data |
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The model was fine-tuned on a dataset that, for demonstration purposes, was simulated using a dummy dataset due to issues loading specific WordPress datasets. The dummy dataset contained text data designed to mimic potential WordPress-related text. |
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(Replace this section with details about your actual training dataset once it is used, including its source, size, and characteristics.) |
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Training Procedure |
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The model was fine-tuned using the Hugging Face transformers library and Trainer class. |
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Base Model: gpt2 |
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Training Arguments: |
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output_dir: ./results |
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num_train_epochs: 3 |
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per_device_train_batch_size: 8 |
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save_steps: 10_000 |
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save_total_limit: 2 |
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logging_dir: ./logs |
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logging_steps: 500 |
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report_to: "none" (to disable W&B logging) |
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(Adjust these details based on your actual training configuration.) |
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Evaluation Results |
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The model was evaluated on a dummy test dataset. The evaluation results are as follows: |
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{'eval_loss': 5.172921657562256, 'eval_runtime': 4.4501, 'eval_samples_per_second': 4.494, 'eval_steps_per_second': 0.674, 'epoch': 3.0} |
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(Replace these results with the evaluation metrics from your actual test set.) |
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Limitations and Bias |
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(Add information about any known limitations or biases of the model based on the training data or model architecture.) |
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Further Information |
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(Include links to the original model, the dataset used, or any other relevant resources.) |
