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README.md
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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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model-index:
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- name: egy-slang-model
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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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# egy-slang-model
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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: 2.9538
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- Wer: 0.9996
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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: 0.001
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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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- 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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| 3.7978 | 3.28 | 400 | 2.9727 | 1.0 |
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| 2.9541 | 6.56 | 800 | 2.9667 | 1.0 |
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| 2.9529 | 9.83 | 1200 | 2.9739 | 0.9999 |
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| 2.9228 | 13.11 | 1600 | 2.9690 | 0.9999 |
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| 2.8879 | 16.39 | 2000 | 3.0275 | 1.0 |
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| 2.8703 | 19.67 | 2400 | 3.0226 | 0.9999 |
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| 2.8552 | 22.95 | 2800 | 2.9886 | 0.9999 |
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| 2.8397 | 26.23 | 3200 | 2.9590 | 0.9999 |
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| 2.8026 | 29.51 | 3600 | 2.9538 | 0.9996 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.10.1
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- Datasets 1.13.3
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- Tokenizers 0.10.3
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