rohitp1/libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-loss-att-take-2

<!-- 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. -->

libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-loss-att-take-2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 26.4101
• —Wer: 0.2791

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: 16
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —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 2.7.0
• —Tokenizers 0.11.0