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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- filipino_voice
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model-index:
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- name: english-filipino-wav2vec2-l-xls-r-test-06
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# english-filipino-wav2vec2-l-xls-r-test-06
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on the filipino_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5806
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- Wer: 0.6568
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 3.0031 | 2.09 | 400 | 1.2366 | 0.8780 |
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| 0.9084 | 4.19 | 800 | 1.0653 | 0.8081 |
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| 0.6484 | 6.28 | 1200 | 1.1648 | 0.8258 |
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| 0.5335 | 8.38 | 1600 | 1.0903 | 0.7542 |
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| 0.4359 | 10.47 | 2000 | 0.9466 | 0.7058 |
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| 0.3629 | 12.57 | 2400 | 0.9266 | 0.7048 |
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| 0.3057 | 14.66 | 2800 | 1.0879 | 0.7018 |
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| 0.2477 | 16.75 | 3200 | 1.1113 | 0.7022 |
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| 0.208 | 18.85 | 3600 | 1.1345 | 0.6742 |
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| 0.1781 | 20.94 | 4000 | 1.3117 | 0.6974 |
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| 0.1465 | 23.04 | 4400 | 1.3248 | 0.6916 |
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| 0.1288 | 25.13 | 4800 | 1.4306 | 0.6523 |
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| 0.1108 | 27.23 | 5200 | 1.5155 | 0.6685 |
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| 0.099 | 29.32 | 5600 | 1.5806 | 0.6568 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.10.0+cu113
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- Datasets 1.18.3
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- Tokenizers 0.10.3
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