metadata

datasets:
  - mozilla-foundation/common_voice_16_0
language:
  - hu
widget:
  - example_title: Sample 1
    src: >-
      https://huggingface.co/datasets/Hungarians/samples/resolve/main/Sample1.flac
  - example_title: Sample 2
    src: >-
      https://huggingface.co/datasets/Hungarians/samples/resolve/main/Sample2.flac
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Whisper Small Hu Cleaned
    results: []

Whisper Small Hu - cleaned

This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 hu cleaned dataset. It achieves the following results on the evaluation set:

Loss: 0.0982
Wer Ortho: 11.0788
Wer: 10.2129

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: 1.25e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0904	1.33	200	0.1232	15.4117	14.4286
0.0316	2.66	400	0.0950	11.8467	10.9171
0.0136	3.99	600	0.0950	11.3208	10.4348
0.0047	5.32	800	0.0959	10.9079	10.0424
0.0029	6.64	1000	0.0982	11.0788	10.2129

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1