test1000 / README.md
minjibi's picture
update model card README.md
4ed6277
metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: test1000
    results: []

test1000

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3276
  • 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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
13.8034 3.22 100 8.1488 1.0
5.6013 6.44 200 3.6813 1.0
3.4696 9.67 300 3.3448 1.0
3.396 12.89 400 3.3276 1.0

Framework versions

  • Transformers 4.22.2
  • Pytorch 1.10.0+cu102
  • Datasets 1.4.1
  • Tokenizers 0.12.1