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RohanHBTU/
wav2vec2-large-xls-r-300m-hindi-colab

Name: wav2vec2-large-xls-r-300m-hindi-colab
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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wav2vec2-large-xls-r-300m-hindi-colab

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 2.0956
Wer: 0.7285

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: 500
num_epochs: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.247	42.11	400	1.8828	0.9513
0.3283	84.21	800	1.7075	0.8399
0.0915	126.32	1200	1.7553	0.7715
0.0492	168.42	1600	1.8279	0.7645
0.0283	210.53	2000	1.9725	0.7970
0.0176	252.63	2400	1.9678	0.7483
0.013	294.74	2800	1.9957	0.7645
0.0082	336.84	3200	2.1776	0.7575
0.0051	378.95	3600	2.0943	0.7506
0.0039	421.05	4000	2.0855	0.7227
0.0026	463.16	4400	2.0956	0.7285

Framework versions

Transformers 4.30.2
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.13.3

RohanHBTU/wav2vec2-large-xls-r-300m-hindi-colab

wav2vec2-large-xls-r-300m-hindi-colab

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RohanHBTU/
wav2vec2-large-xls-r-300m-hindi-colab