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---
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: Model_P_Wav2Vec2_Versi2
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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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# Model_P_Wav2Vec2_Versi2
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7372
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- Wer: 0.5827
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- Cer: 0.2585
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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: 0.0003
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- train_batch_size: 16
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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: 32
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 3.6262 | 3.49 | 400 | 2.1100 | 0.9084 | 0.3800 |
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| 0.6747 | 6.99 | 800 | 2.2525 | 0.7047 | 0.2942 |
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| 0.4115 | 10.48 | 1200 | 2.2371 | 0.6452 | 0.2875 |
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| 0.2946 | 13.97 | 1600 | 2.4240 | 0.6279 | 0.2705 |
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| 0.2252 | 17.47 | 2000 | 2.5509 | 0.6429 | 0.2759 |
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| 0.1822 | 20.96 | 2400 | 2.4377 | 0.6095 | 0.2692 |
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| 0.1318 | 24.45 | 2800 | 2.6908 | 0.5807 | 0.2549 |
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| 0.1001 | 27.95 | 3200 | 2.7372 | 0.5827 | 0.2585 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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