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metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
  - generated_from_trainer
model-index:
  - name: wav2vec2-base-timit-demo
    results: []

wav2vec2-base-timit-demo

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: 0.6519
  • Cer: 0.1121

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
  • 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: 1000
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Cer
3.1338 8.0 500 0.5833 0.1592
0.4869 16.0 1000 0.3597 0.1123
0.2752 24.0 1500 0.4215 0.1161
0.1733 32.0 2000 0.5183 0.1120
0.1187 40.0 2500 0.6195 0.1138
0.0906 48.0 3000 0.6519 0.1121

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.6.dev0
  • Tokenizers 0.13.3