CoolFace
Modelpublic

HuggingFaceSun/my_awesome_asr_mind_model

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
0likes10downloads
Model Card

<!-- 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. -->

myawesomeasrmindmodel

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.2641
  • Wer: 1.0

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: 0.001
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • training_steps: 30
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
51.8241.0542.35341.0
48.7532.01042.35341.0
32.073.0153.84321.0
3.74544.0203.22941.0
3.24915.0253.24861.0
3.14216.0303.26411.0

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3