wav2vec2-base-ami_single-vumichien2

This model is a fine-tuned version of facebook/wav2vec2-base on the AMI-IHM dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • 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: 3e-06
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0 0.53 2500 nan 1.0
0.0 1.06 5000 nan 1.0
0.0 1.59 7500 nan 1.0
0.0 2.12 10000 nan 1.0
0.0 2.64 12500 nan 1.0
0.0 3.17 15000 nan 1.0
0.0 3.7 17500 nan 1.0
0.0 4.23 20000 nan 1.0
0.0 4.76 22500 nan 1.0
0.0 5.29 25000 nan 1.0
0.0 5.82 27500 nan 1.0
0.0 6.35 30000 nan 1.0
0.0 6.87 32500 nan 1.0
0.0 7.4 35000 nan 1.0
0.0 7.93 37500 nan 1.0
0.0 8.46 40000 nan 1.0
0.0 8.99 42500 nan 1.0
0.0 9.52 45000 nan 1.0

Framework versions

  • Transformers 4.12.0.dev0
  • Pytorch 1.9.1
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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