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--- |
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license: apache-2.0 |
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base_model: distilroberta-base |
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tags: |
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- generated_from_trainer |
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inference: false |
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datasets: |
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- HuggingFaceFW/fineweb-edu-llama3-annotations |
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language: |
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- en |
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metrics: |
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- mse |
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--- |
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[<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/pszemraj/eduscore-regression/runs/8e2uvp5t) |
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# distilroberta-base-edu-classifier |
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This predicts an 'eduscore' from 0-5 for given text. You can see an example dataset classified with this model [here](https://huggingface.co/datasets/pszemraj/minipile-graded) |
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## Details |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the HuggingFaceFW/fineweb-edu-llama3-annotations dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2194 |
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- Mse: 0.2194 |
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## Usage |
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Same as the others, will add later |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 90085 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-09 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1.0 |
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