amk-whisper-v5.5 / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: amk-whisper-v5.5
    results: []

amk-whisper-v5.5

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8049
  • Wer: 28.0612

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: 5e-06
  • train_batch_size: 16
  • 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: 2
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.2935 1.0 1 1.0842 38.2653
1.2935 2.0 2 1.0339 35.7143
1.1811 3.0 3 0.9826 33.1633
0.9953 4.0 4 0.9103 28.5714
0.7994 5.0 5 0.8852 28.0612
0.7257 6.0 6 0.8624 28.5714
0.656 7.0 7 0.8423 28.8265
0.5976 8.0 8 0.8274 28.5714
0.5572 9.0 9 0.8110 27.8061
0.5096 10.0 10 0.8049 28.0612

Framework versions

  • Transformers 4.29.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.8.0
  • Tokenizers 0.13.2