whisper-small-hi – AI Model by teahoo | AlphaNeural AI

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teahoo/
whisper-small-hi

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

mozilla-foundation/common_voice_11_0

endpoints_compatible

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Whisper Small Hi - Sanchit Gandhi

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.5964
Wer: 65.9189

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
training_steps: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.9954	0.02	10	2.0896	111.0937
1.4388	0.05	20	1.4497	106.8780
1.0201	0.07	30	0.9971	110.6281
0.7901	0.1	40	0.8241	80.4199
0.6572	0.12	50	0.7474	95.7039
0.6096	0.15	60	0.6896	85.3890
0.5228	0.17	70	0.6508	75.9672
0.5413	0.2	80	0.6219	67.5527
0.5319	0.22	90	0.6047	67.7516
0.4952	0.24	100	0.5964	65.9189

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.1.dev0
Tokenizers 0.13.2