metadata

language:
  - sl
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_13_0
metrics:
  - wer
model-index:
  - name: Whisper Small Sl - Padajno
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 13
          type: mozilla-foundation/common_voice_13_0
          config: sl
          split: test
          args: sl
        metrics:
          - name: Wer
            type: wer
            value: 25.936967632027258

Whisper Small Sl - Padajno

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

Loss: 0.3707
Wer Ortho: 28.2066
Wer: 25.9370

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	Wer Ortho	Wer
0.9497	0.6135	100	0.8683	37.6703	35.8745
0.171	1.2270	200	0.3742	33.4847	31.2039
0.1841	1.8405	300	0.3407	31.0585	28.7337
0.0592	2.4540	400	0.3492	29.5545	27.1153
0.0434	3.0675	500	0.3624	29.7106	27.2572
0.027	3.6810	600	0.3707	28.2066	25.9370

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1