Achitha/ta-eng-data

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

ta-eng-data

This model is a fine-tuned version of openai/whisper-base on an unknown dataset.

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: 1e-05
• —trainbatchsize: 32
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —training_steps: 500
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.27.0.dev0
• —Pytorch 1.13.1+cu116
• —Datasets 2.9.1.dev0
• —Tokenizers 0.13.2