Hugging Face's logo

matildecs
/
whisper-medium-sds200

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
whisper-medium-sds200 / README.md
matildecs's picture
matildecs
End of training
f09d68f verified
preview code
|
raw
history blame contribute delete
1.7 kB
metadata
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-medium-sds200
    results: []

whisper-medium-sds200

This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3857
  • Wer: 23.6639

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: 1e-05
  • 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: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.4466 0.4327 1000 0.4548 27.8436
0.3417 0.8654 2000 0.4154 26.0740
0.2122 1.2981 3000 0.3984 25.3984
0.1734 1.7309 4000 0.3851 24.1424
0.1015 2.1636 5000 0.3857 23.6639

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu118
  • Datasets 2.20.0
  • Tokenizers 0.19.1