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yesj1234/
xlsr_enko_exp4

Name: xlsr_enko_exp4
Availability: InStock

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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en-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: 0.5574
Cer: 0.0835
Wer: 0.1854

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: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
0.6992	2.79	600	0.4981	0.1370	0.3376
0.3394	5.58	1200	0.3934	0.1057	0.2467
0.2376	8.37	1800	0.4123	0.1015	0.2356
0.1877	11.16	2400	0.4269	0.0928	0.2136
0.1494	13.95	3000	0.4648	0.0922	0.2102
0.1186	16.74	3600	0.4835	0.0919	0.2058
0.0966	19.53	4200	0.4986	0.0875	0.1978
0.083	22.33	4800	0.5179	0.0862	0.1927
0.071	25.12	5400	0.5539	0.0857	0.1908
0.0648	27.91	6000	0.5583	0.0844	0.1870

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu121
Datasets 2.14.5
Tokenizers 0.14.1

yesj1234/xlsr_enko_exp4

en-xlsr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yesj1234/
xlsr_enko_exp4