gunkaynar
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bert-base-multilingual-uncased-sentiment_run2

Text Classification

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bert-base-multilingual-uncased-sentiment_run2

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4877
Accuracy: 0.7447
F1: 0.7972

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: 2

Training results

Framework versions

Transformers 4.33.3
Pytorch 2.1.1
Datasets 2.14.7
Tokenizers 0.11.0

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Base model

nlptown/bert-base-multilingual-uncased-sentiment

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Evaluation results

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