rossevine/Check_Model_1

<!-- 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. -->

CheckModel1

This model is a fine-tuned version of facebook/wav2vec2-large on the common_voice dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5522
• —Wer: 0.3748
• —Cer: 0.1158

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: 0.0003
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 30

Training results

Framework versions

• —Transformers 4.31.0
• —Pytorch 2.0.1+cu117
• —Datasets 1.18.3
• —Tokenizers 0.13.3