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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