benmanks/sentiment_analysis_trainer_model

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sentimentanalysistrainer_model

This model is a fine-tuned version of mdhugol/indonesia-bert-sentiment-classification on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.7772
• —eval_accuracy: 0.7005
• —eval_precision: 0.6482
• —eval_recall: 0.7005
• —eval_runtime: 6.8809
• —evalsamplesper_second: 290.659
• —evalstepsper_second: 36.332
• —step: 0

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: 0.0001
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.1.0+cu118
• —Datasets 2.14.6
• —Tokenizers 0.14.1