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Deehan1866/PR-pass-distilbert-base-uncased · Pirate Face

Deehan1866/PR-pass-distilbert-base-uncased

Source: 🤗question-answeringapache-2.066M params321 MBsafetensors✓ 5 checksumsupdated 867d ago

finetuned

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the PiC/phrase_retrieval PR-pass dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

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Weight files: 5
Model size: 321 MB
Downloads · last month: 9
Publisher: Unclaimed

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