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KhanhQuocNguyen/
wav2vec2-large-xls-r-300m-vietnamese-colab

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

automatic-speech-recognition

generated_from_trainer

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wav2vec2-large-xls-r-300m-vietnamese-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: 1.6183
Wer: 0.7769

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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: 100
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
17.3239	3.77	50	8.2850	1.0
4.8101	7.55	100	3.6457	1.0
3.555	11.32	150	3.5135	1.0
3.4525	15.09	200	3.5400	1.0
3.4141	18.87	250	3.4720	1.0
3.3671	22.64	300	3.4015	1.0
3.1574	26.42	350	3.0054	1.0007
2.4479	30.19	400	2.3789	0.9876
1.5488	33.96	450	1.9272	0.9026
0.9813	37.74	500	1.7429	0.8419
0.7087	41.51	550	1.6931	0.8115
0.5322	45.28	600	1.6583	0.7894
0.4502	49.06	650	1.6183	0.7769

Framework versions

Transformers 4.27.3
Pytorch 1.10.0+cu113
Datasets 2.10.1
Tokenizers 0.13.2

KhanhQuocNguyen/wav2vec2-large-xls-r-300m-vietnamese-colab

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

KhanhQuocNguyen/
wav2vec2-large-xls-r-300m-vietnamese-colab