Hugging Face's logo

Ibaahjnr
/
Asanti_Twi_Model_V2.1

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
1
Asanti_Twi_Model_V2.1 / README.md
Ibaahjnr's picture
Ibaahjnr
End of training
a0d1bcb verified
preview code
|
raw
history blame contribute delete
1.72 kB
metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Asanti_Twi_Model_V2.1
    results: []

Asanti_Twi_Model_V2.1

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

  • Loss: 1.0719
  • Wer: 63.5349
  • Cer: 33.3322

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 3000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.263 0.3156 1000 0.9805 70.9709 34.6704
0.1695 0.6311 2000 0.9871 57.5538 25.8291
0.129 0.9467 3000 1.0719 63.5349 33.3322

Framework versions

  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0