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mvip/
wav2vec2-large-xls-r-300m-tr

Name: wav2vec2-large-xls-r-300m-tr
Rating: 2.5 (5 reviews)

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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wav2vec2-large-xls-r-300m-tr

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: 0.4074
Wer: 0.4227

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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.9399	4.21	400	0.7252	0.7387
0.4147	8.42	800	0.4693	0.5201
0.1855	12.63	1200	0.4584	0.4848
0.1256	16.84	1600	0.4464	0.4708
0.0948	21.05	2000	0.4261	0.4389
0.0714	25.26	2400	0.4331	0.4349
0.0532	29.47	2800	0.4074	0.4227

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.10.3

mvip/wav2vec2-large-xls-r-300m-tr

wav2vec2-large-xls-r-300m-tr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mvip/
wav2vec2-large-xls-r-300m-tr