sanchit-gandhi/ast-fleurs-langid-dropout-0.2-layers-6

<!-- 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. -->

ast-fleurs-langid-dropout-0.2-layers-6

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the fleurs dataset. It achieves the following results on the evaluation set:

• —Loss: 7.4304
• —Accuracy: 0.1802

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: 4
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.27.0.dev0
• —Pytorch 1.13.1
• —Datasets 2.9.0
• —Tokenizers 0.13.2