wav2vec2-60-Urdu-V8 – AI Model by kingabzpro | AlphaNeural AI

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kingabzpro/
wav2vec2-60-Urdu-V8

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automatic-speech-recognition

robust-speech-event

hf-asr-leaderboard

mozilla-foundation/common_voice_8_0

Harveenchadha/vakyansh-wav2vec2-urdu-urm-60

endpoints_compatible

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wav2vec2-60-Urdu-V8

This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-urdu-urm-60 on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 11.4832
Wer: 0.5729
Cer: 0.3170

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 7.5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
19.671	8.33	100	7.7671	0.8795	0.4492
2.085	16.67	200	9.2759	0.6201	0.3320
0.6633	25.0	300	8.7025	0.5738	0.3104
0.388	33.33	400	10.2286	0.5852	0.3128
0.2822	41.67	500	11.1953	0.5738	0.3174
0.2293	50.0	600	11.4832	0.5729	0.3170

Framework versions

Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.0