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hyorea1/
wav2vec2-large-xls-r-300m-zeroth

Name: wav2vec2-large-xls-r-300m-zeroth
Availability: InStock

automatic-speech-recognition

generated_from_trainer

zeroth_korean_asr

apache-2.0

endpoints_compatible

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wav2vec2-large-xls-r-300m-zeroth

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

Loss: 0.7052
Wer: 0.4621

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
15.1763	1.61	400	4.6768	1.0
3.1779	3.21	800	1.6680	0.8752
1.052	4.82	1200	0.9580	0.7332
0.5412	6.42	1600	0.7752	0.5993
0.3281	8.03	2000	0.7158	0.5615
0.2312	9.64	2400	0.6975	0.5532
0.2001	11.24	2800	0.7489	0.5677
0.1587	12.85	3200	0.6954	0.5267
0.1321	14.46	3600	0.7329	0.5371
0.1178	16.06	4000	0.7534	0.5341
0.103	17.67	4400	0.7046	0.5066
0.0843	19.28	4800	0.7507	0.5028
0.079	20.88	5200	0.7137	0.4886
0.0647	22.49	5600	0.7170	0.4855
0.0565	24.1	6000	0.7124	0.4781
0.0487	25.7	6400	0.7043	0.4721
0.0433	27.31	6800	0.7128	0.4557
0.0379	28.91	7200	0.7052	0.4621

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3

hyorea1/wav2vec2-large-xls-r-300m-zeroth

wav2vec2-large-xls-r-300m-zeroth

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hyorea1/
wav2vec2-large-xls-r-300m-zeroth