This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.9008
Wer: 0.6569

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: 0.0003
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: 300
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
7.774	1.3605	200	3.5057	1.0
2.6507	2.7211	400	1.2937	0.8401
0.7129	4.0816	600	0.9775	0.7138
0.4318	5.4422	800	0.9152	0.6752
0.3234	6.8027	1000	0.9008	0.6569

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

surajsinghcur8/wav2vec2-large-xlsr-hindi

wav2vec2-large-xlsr-hindi

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

surajsinghcur8/
wav2vec2-large-xlsr-hindi