rohitp1/libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-mse-take-4-unfreeze-extractor

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libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-mse-take-4-unfreeze-extractor

This model is a fine-tuned version of rohitp1/libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-mse on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 35.4977
• —Wer: 0.2414

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: 1
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.2
• —num_epochs: 40
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.24.0
• —Pytorch 1.12.1
• —Datasets 2.7.1
• —Tokenizers 0.11.0