wav2vec2-xls-r-300m-phoneme – AI Model by vitouphy | AlphaNeural AI

You can deploy this model and start earning money today!

vitouphy/
wav2vec2-xls-r-300m-phoneme

like

0

automatic-speech-recognition

generated_from_trainer

endpoints_compatible

Views

No views yet

wav2vec2-xls-r-300m-phoneme

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3327
Cer: 0.1332

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: 3e-05
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: 2000
training_steps: 7000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
3.4324	1.32	1000	3.3693	0.9091
2.1751	2.65	2000	1.1382	0.2397
1.3986	3.97	3000	0.4886	0.1452
1.2285	5.3	4000	0.3842	0.1351
1.142	6.62	5000	0.3505	0.1349
1.1075	7.95	6000	0.3323	0.1317
1.0867	9.27	7000	0.3265	0.1315

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.18.2.dev0
Tokenizers 0.11.0