Motahar/distilbert-sst2-mahtab

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distilbert-sst2-mahtab

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the glue dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.4982
• —eval_accuracy: 0.8830
• —eval_runtime: 2.3447
• —evalsamplesper_second: 371.91
• —evalstepsper_second: 46.489
• —epoch: 1.0
• —step: 8419

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: 5e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3.0

Framework versions

• —Transformers 4.15.0
• —Pytorch 1.10.0+cu111
• —Datasets 1.17.0
• —Tokenizers 0.10.3