distilroberta-base-edu-classifier

This predicts an 'eduscore' from 0-5 for given text. You can see an example dataset classified with this model here

Details

This model is a fine-tuned version of distilroberta-base on the HuggingFaceFW/fineweb-edu-llama3-annotations dataset. It achieves the following results on the evaluation set:

• Loss: 0.2194
• Mse: 0.2194

Usage

Same as the others, will add later

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 90085
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-09
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 1.0