meghanadh/finetune_bert_iemocap_text

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finetunebertiemocap_text

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.4672
• —eval_accuracy: 0.8682
• —eval_f1: 0.8691
• —eval_runtime: 9.9975
• —evalsamplesper_second: 55.414
• —evalstepsper_second: 7.002
• —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: 5e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.2.1
• —Datasets 2.18.0
• —Tokenizers 0.15.2