metadata

license: apache-2.0
tags:
  - whisper-event
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
  - google/fleurs
  - bayartsogt/ulaanbal-v0
metrics:
  - wer
model-index:
  - name: whisper-small-mn-3-bayartsogt
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 11.0
          type: mozilla-foundation/common_voice_11_0
          config: mn
          split: test
          args:
            language: mn
        metrics:
          - name: Wer
            type: wer
            value: 30.36923749180686

whisper-small-mn-3

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

Loss: 0.3277
Wer: 30.3692
Cer: 10.9030

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: 32
eval_batch_size: 32
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: 15000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.3408	0.61	1000	0.4062	47.6841	17.3811
0.2261	1.22	2000	0.3262	37.8086	13.6466
0.2135	1.83	3000	0.2863	33.7175	12.2246
0.1643	2.43	4000	0.2803	32.5978	11.4526
0.1198	3.04	5000	0.2747	31.1121	11.0533
0.1279	3.65	6000	0.2757	30.7243	10.8927
0.0891	4.26	7000	0.2878	30.9209	11.0610
0.0899	4.87	8000	0.2906	30.6642	11.0799
0.0648	5.48	9000	0.3054	30.5986	10.9030
0.0436	6.09	10000	0.3184	30.5222	10.9434
0.0468	6.7	11000	0.3277	30.3692	10.9030
0.0291	7.3	12000	0.3411	30.9810	11.1572
0.0275	7.91	13000	0.3476	31.0684	11.1555
0.0196	8.52	14000	0.3572	30.9154	11.1065
0.0159	9.13	15000	0.3600	31.0356	11.2087

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2