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Khalsuu/
filipino-wav2vec2-l-xls-r-300m-official

Name: filipino-wav2vec2-l-xls-r-300m-official
Availability: InStock

automatic-speech-recognition

generated_from_trainer

filipino_voice

apache-2.0

endpoints_compatible

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filipino-wav2vec2-l-xls-r-300m-official

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

Loss: 0.4672
Wer: 0.2922

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
3.3671	2.09	400	0.5584	0.5987
0.48	4.19	800	0.4244	0.4195
0.2796	6.28	1200	0.3742	0.3765
0.1916	8.38	1600	0.4291	0.3667
0.1463	10.47	2000	0.3745	0.3415
0.1165	12.57	2400	0.4472	0.3407
0.0955	14.66	2800	0.4269	0.3290
0.0823	16.75	3200	0.4608	0.3475
0.0709	18.85	3600	0.4706	0.3281
0.0603	20.94	4000	0.4380	0.3183
0.0527	23.04	4400	0.4473	0.3067
0.0449	25.13	4800	0.4550	0.3029
0.041	27.23	5200	0.4671	0.3020
0.0358	29.32	5600	0.4672	0.2922

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3

Khalsuu/filipino-wav2vec2-l-xls-r-300m-official

filipino-wav2vec2-l-xls-r-300m-official

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Khalsuu/
filipino-wav2vec2-l-xls-r-300m-official