english-filipino-wav2vec2-l-xls-r-test-08

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the filipino_voice dataset. It achieves the following results on the evaluation set:

• Loss: 0.5968
• Wer: 0.4255

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: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.3434	2.09	400	2.2857	0.9625
1.6304	4.19	800	1.1547	0.7268
0.9231	6.28	1200	1.0252	0.6186
0.6098	8.38	1600	0.9371	0.5494
0.4922	10.47	2000	0.7092	0.5478
0.3652	12.57	2400	0.7358	0.5149
0.2735	14.66	2800	0.6270	0.4646
0.2038	16.75	3200	0.5717	0.4506
0.1552	18.85	3600	0.5968	0.4255

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu113
• Datasets 1.18.3
• Tokenizers 0.10.3