xlsr-53-ur – AI Model by akmalmasud96 | AlphaNeural AI

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xlsr-53-ur

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xlsr-53-ur

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

Loss: 0.6860
Wer: 0.3451

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: 6
eval_batch_size: 6
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 12
total_eval_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 15.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.0396	1.59	300	3.0179	1.0
0.4976	3.17	600	0.7037	0.5447
0.3062	4.76	900	0.5557	0.4036
0.2287	6.35	1200	0.5620	0.3935
0.2504	7.94	1500	0.5907	0.3677
0.0633	9.52	1800	0.6239	0.3773
0.0456	11.11	2100	0.6748	0.3604
0.0774	12.7	2400	0.6747	0.3552
0.058	14.29	2700	0.6860	0.3451

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2