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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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model-index: |
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- name: wav2vec_arabic_mdd_experiment2 |
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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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# wav2vec_arabic_mdd_experiment2 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1776 |
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- Per: 0.0693 |
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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: 0.0005 |
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- train_batch_size: 8 |
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- eval_batch_size: 6 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 250 |
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- num_epochs: 20.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Per | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.4089 | 1.0 | 427 | 0.1893 | 0.0889 | |
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| 0.4135 | 2.0 | 855 | 0.1783 | 0.0939 | |
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| 0.3924 | 3.0 | 1282 | 0.1825 | 0.0912 | |
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| 0.3598 | 4.0 | 1710 | 0.1768 | 0.0927 | |
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| 0.3349 | 5.0 | 2137 | 0.1695 | 0.0898 | |
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| 0.3068 | 6.0 | 2565 | 0.1749 | 0.0927 | |
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| 0.286 | 7.0 | 2992 | 0.1731 | 0.0852 | |
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| 0.2665 | 8.0 | 3420 | 0.1835 | 0.0784 | |
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| 0.246 | 9.0 | 3847 | 0.1824 | 0.0893 | |
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| 0.2314 | 10.0 | 4275 | 0.1768 | 0.0796 | |
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| 0.2105 | 11.0 | 4702 | 0.1721 | 0.0751 | |
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| 0.1982 | 12.0 | 5130 | 0.1842 | 0.0761 | |
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| 0.1877 | 13.0 | 5557 | 0.1802 | 0.0750 | |
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| 0.1735 | 14.0 | 5985 | 0.1740 | 0.0770 | |
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| 0.1733 | 15.0 | 6412 | 0.1695 | 0.0752 | |
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| 0.1634 | 16.0 | 6840 | 0.1720 | 0.0757 | |
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| 0.1542 | 17.0 | 7267 | 0.1757 | 0.0689 | |
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| 0.1444 | 18.0 | 7695 | 0.1748 | 0.0701 | |
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| 0.1365 | 19.0 | 8122 | 0.1777 | 0.0690 | |
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| 0.1331 | 19.98 | 8540 | 0.1776 | 0.0693 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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