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

pszemraj/distilroberta-base-edu-classifier

distilroberta-base-edu-classifier

Details

Usage

Training procedure

Training hyperparameters

pszemraj/
distilroberta-base-edu-classifier