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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: 2.9273 |
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- Wer: 1.0000 |
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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: 20 |
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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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| No log | 1.64 | 200 | 2.9735 | 1.0 | |
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| 3.8098 | 3.28 | 400 | 2.9765 | 1.0 | |
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| 3.8098 | 4.91 | 600 | 2.9662 | 1.0 | |
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| 2.9531 | 6.56 | 800 | 2.9708 | 1.0 | |
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| 2.9531 | 8.2 | 1000 | 2.9673 | 1.0 | |
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| 2.9259 | 9.83 | 1200 | 2.9989 | 1.0 | |
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| 2.9259 | 11.47 | 1400 | 2.9889 | 1.0 | |
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| 2.9023 | 13.11 | 1600 | 2.9739 | 1.0 | |
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| 2.9023 | 14.75 | 1800 | 3.0040 | 1.0000 | |
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| 2.8832 | 16.39 | 2000 | 3.0170 | 1.0 | |
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| 2.8832 | 18.03 | 2200 | 2.9963 | 0.9999 | |
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| 2.8691 | 19.67 | 2400 | 2.9273 | 1.0000 | |
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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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