soongbren/distilbert-base-multilingual-cased-sentiments-student-small-dataset

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distilbert-base-multilingual-cased-sentiments-student-small-dataset

This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.6234
• —eval_accuracy: {'accuracy': 0.7055630936227951}
• —eval_f1score: {'f1': 0.695644141066491}
• —eval_runtime: 12.2657
• —evalsamplesper_second: 60.086
• —evalstepsper_second: 7.582
• —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: 0.0002
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 515
• —num_epochs: 7

Framework versions

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