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yesj1234/
xlsr_mid1_ko-ja

Name: xlsr_mid1_ko-ja
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: 0.3889
Cer: 0.1082

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_steps: 1500
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
1.4503	1.22	2000	1.0610	0.2687
1.0239	2.45	4000	0.6962	0.1904
0.8977	3.67	6000	0.5945	0.1687
0.804	4.9	8000	0.5328	0.1492
0.698	6.12	10000	0.5014	0.1365
0.6426	7.35	12000	0.4715	0.1322
0.61	8.57	14000	0.4530	0.1258
0.5709	9.79	16000	0.4300	0.1201
0.5235	11.02	18000	0.4168	0.1166
0.4778	12.24	20000	0.4057	0.1129
0.4571	13.47	22000	0.3945	0.1100
0.4388	14.69	24000	0.3891	0.1081

Framework versions

Transformers 4.34.0
Pytorch 2.1.0+cu121
Datasets 2.14.5
Tokenizers 0.14.1

yesj1234/xlsr_mid1_ko-ja

en-xlsr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yesj1234/
xlsr_mid1_ko-ja