loso_F02 / README.md
pnparam's picture
update model card README.md
ce3df5c
metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: loso_F02
    results: []

loso_F02

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0784
  • Wer: 1.3311

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 7
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
9.0203 0.96 500 3.2523 1.0
2.6567 1.92 1000 1.7631 2.44
1.1186 2.88 1500 0.4121 2.4
0.3969 3.84 2000 0.1705 1.4533
0.1635 4.8 2500 0.0970 1.68
0.0915 5.76 3000 0.0874 1.4267
0.0609 6.72 3500 0.0784 1.3311

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.13.1+cu116
  • Datasets 1.18.3
  • Tokenizers 0.13.2