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---
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-300m
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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_S_P_Wav2Vec2_Versi3
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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_S_P_Wav2Vec2_Versi3
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4319
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- Wer: 0.6128
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- Cer: 0.2545
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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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| 3.9619 | 4.17 | 400 | 2.3149 | 0.9821 | 0.4309 |
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| 0.9083 | 8.33 | 800 | 1.8261 | 0.7469 | 0.3068 |
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| 0.4814 | 12.5 | 1200 | 1.8669 | 0.7004 | 0.2909 |
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| 0.3331 | 16.67 | 1600 | 2.2705 | 0.6705 | 0.2814 |
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| 0.2352 | 20.83 | 2000 | 2.3172 | 0.6234 | 0.2607 |
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| 0.1776 | 25.0 | 2400 | 2.2959 | 0.6174 | 0.2553 |
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| 0.1122 | 29.17 | 2800 | 2.4319 | 0.6128 | 0.2545 |
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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 1.18.3
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- Tokenizers 0.13.3
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