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yesj1234/
xlsr_5p_ko-en

Name: xlsr_5p_ko-en
Rating: 2.5 (5 reviews)

transformers

pytorch

wav2vec2

automatic-speech-recognition

./sample_speech.py

generated_from_trainer

facebook/wav2vec2-large-xlsr-53

finetune

apache-2.0

endpoints_compatible

Views

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ko-xlsr

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

Loss: 0.4651
Cer: 0.0828

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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 40

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
6.3673	3.17	1500	0.6104	0.1606
0.656	6.33	3000	0.4318	0.1129
0.4729	9.5	4500	0.4010	0.1028
0.3789	12.66	6000	0.3867	0.0977
0.3166	15.83	7500	0.3857	0.0936
0.267	18.99	9000	0.3891	0.0912
0.2286	22.16	10500	0.4074	0.0910
0.1967	25.32	12000	0.4079	0.0878
0.1712	28.49	13500	0.4289	0.0865
0.1493	31.65	15000	0.4456	0.0850
0.1333	34.82	16500	0.4573	0.0843
0.1191	37.98	18000	0.4633	0.0833

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.0

yesj1234/xlsr_5p_ko-en

ko-xlsr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yesj1234/
xlsr_5p_ko-en