ami-dummy

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: 94.6519
  • 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: 0.0003
  • train_batch_size: 16
  • eval_batch_size: 16
  • 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: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 2.46 15 102.9094 1.0

Framework versions

  • Transformers 4.12.0.dev0
  • Pytorch 1.8.1
  • Datasets 1.12.2.dev0
  • Tokenizers 0.10.3
Downloads last month
3
Hosted inference API
Automatic Speech Recognition
or
This model can be loaded on the Inference API on-demand.