metadata

library_name: transformers
language:
  - co
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - ntviet/Co-audio-dataset4.2
model-index:
  - name: Whisper Small Co 4
    results: []

Whisper Small Co 4

This model is a fine-tuned version of openai/whisper-small on the Co audio dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.0259
Cer Ortho: 0.0097
Cer: 1.6949

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 600
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer Ortho	Cer
0.0379	7.3171	600	0.0259	0.0097	1.6949

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1