BengaliModel – AI Model by Redve | AlphaNeural AI

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Redve/
BengaliModel

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

mozilla-foundation/common_voice_11_0

openai/whisper-small

endpoints_compatible

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Whisper Small bn - Group 4

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: 0.2751
Wer: 42.2126

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: 200
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.163	1.06	500	0.2064	55.6065
0.0862	2.12	1000	0.1675	47.1869
0.0475	3.18	1500	0.1696	44.8561
0.0239	4.24	2000	0.1848	43.2436
0.0119	5.3	2500	0.2081	43.5608
0.0058	6.36	3000	0.2262	43.0718
0.0024	7.42	3500	0.2427	42.4726
0.0009	8.47	4000	0.2611	42.6356
0.0005	9.53	4500	0.2709	42.3492
0.0004	10.59	5000	0.2751	42.2126

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0