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
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Model tree for pszemraj/distilroberta-base-edu-classifier
Base model
distilbert/distilroberta-base
Finetuned
this model