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Model Details of distilroberta-base-edu-classifier
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
Runs of pszemraj distilroberta-base-edu-classifier on huggingface.co
19
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
9
30-day runs
More Information About distilroberta-base-edu-classifier huggingface.co Model
More distilroberta-base-edu-classifier license Visit here:
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pszemraj distilroberta-base-edu-classifier online free url in huggingface.co:
distilroberta-base-edu-classifier is an open source model from GitHub that offers a free installation service, and any user can find distilroberta-base-edu-classifier on GitHub to install. At the same time, huggingface.co provides the effect of distilroberta-base-edu-classifier install, users can directly use distilroberta-base-edu-classifier installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
distilroberta-base-edu-classifier install url in huggingface.co: