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Ibrahim-Alam/finetuning-distilbert-base-uncased-on-sst2 · Pirate Face

Ibrahim-Alam/finetuning-distilbert-base-uncased-on-sst2

Source: 🤗text-classificationapache-2.0269 MBother✓ 5 checksumsupdated 1,262d ago

finetuning-distilbert-base-uncased-on-sst2

This model is a fine-tuned version of distilbert-base-uncased on the sst2 dataset. It achieves the following results on the evaluation set:

Loss: 0.2883
Accuracy: 0.9014
F1: 0.9040

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

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Weight files: 5
Model size: 269 MB
Downloads · last month: 10
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