metadata

language:
  - sr
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - espnet/yodas
metrics:
  - wer
model-index:
  - name: Whisper Small Sr Yodas
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Yodas
          type: espnet/yodas
          config: sr
          split: test
          args: sr
        metrics:
          - name: Wer
            type: wer
            value: 0.12195981670778992

Whisper Small Sr Yodas

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

Loss: 0.3584
Wer Ortho: 0.2328
Wer: 0.1220

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.6958	0.49	1000	0.2114	0.2528	0.1563
0.5941	0.98	2000	0.1857	0.2214	0.1269
0.3985	1.46	3000	0.1729	0.2106	0.1167
0.4187	1.95	4000	0.1745	0.2120	0.1147
0.3446	2.44	5000	0.1770	0.2074	0.1139
0.2992	2.93	6000	0.1710	0.2048	0.1061
0.2074	3.42	7000	0.1887	0.2090	0.1123
0.1958	3.91	8000	0.1871	0.2136	0.1131
0.1707	4.39	9000	0.2069	0.2230	0.1126
0.1403	4.88	10000	0.2092	0.2138	0.1110
0.0871	5.37	11000	0.2345	0.2216	0.1161
0.0856	5.86	12000	0.2384	0.2281	0.1161
0.0496	6.35	13000	0.2657	0.2327	0.1211
0.0542	6.84	14000	0.2760	0.2346	0.1198
0.0274	7.32	15000	0.3024	0.2304	0.1218
0.0281	7.81	16000	0.3134	0.2357	0.1216
0.0151	8.3	17000	0.3328	0.2276	0.1188
0.0165	8.79	18000	0.3417	0.2348	0.1220
0.0094	9.28	19000	0.3545	0.2318	0.1221
0.0125	9.77	20000	0.3584	0.2328	0.1220

Framework versions

Transformers 4.39.3
Pytorch 2.0.1+cu117
Datasets 2.18.0
Tokenizers 0.15.1