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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: wav2vec2-large-xls-r-300m-Arabic-phoneme-based-MDD-experiment3 |
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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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# wav2vec2-large-xls-r-300m-Arabic-phoneme-based-MDD-experiment3 |
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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: 0.0558 |
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- Per: 0.0156 |
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- Wer: 0.0184 |
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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: 30.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Per | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:| |
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| 2.4598 | 1.0 | 546 | 1.8270 | 0.9903 | 0.9822 | |
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| 1.8808 | 2.0 | 1093 | 1.8033 | 0.9898 | 0.9813 | |
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| 1.8584 | 3.0 | 1640 | 1.7560 | 0.9950 | 0.9906 | |
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| 1.8313 | 4.0 | 2187 | 1.6726 | 0.9881 | 0.9817 | |
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| 1.764 | 5.0 | 2733 | 1.4356 | 0.9688 | 0.9680 | |
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| 1.5369 | 6.0 | 3280 | 0.6934 | 0.5617 | 0.5871 | |
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| 1.228 | 7.0 | 3827 | 0.3561 | 0.2158 | 0.2483 | |
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| 1.0419 | 8.0 | 4374 | 0.1982 | 0.0925 | 0.1170 | |
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| 0.9134 | 9.0 | 4920 | 0.1557 | 0.0692 | 0.0806 | |
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| 0.813 | 10.0 | 5467 | 0.1070 | 0.0507 | 0.0589 | |
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| 0.7471 | 11.0 | 6014 | 0.0969 | 0.0389 | 0.0453 | |
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| 0.693 | 12.0 | 6561 | 0.0840 | 0.0311 | 0.0375 | |
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| 0.6506 | 13.0 | 7107 | 0.0745 | 0.0285 | 0.0339 | |
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| 0.6159 | 14.0 | 7654 | 0.0765 | 0.0264 | 0.0321 | |
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| 0.5839 | 15.0 | 8201 | 0.0652 | 0.0253 | 0.0307 | |
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| 0.5578 | 16.0 | 8748 | 0.0672 | 0.0236 | 0.0281 | |
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| 0.5259 | 17.0 | 9294 | 0.0664 | 0.0231 | 0.0270 | |
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| 0.5011 | 18.0 | 9841 | 0.0656 | 0.0215 | 0.0254 | |
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| 0.4755 | 19.0 | 10388 | 0.0674 | 0.0206 | 0.0239 | |
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| 0.4471 | 20.0 | 10935 | 0.0649 | 0.0203 | 0.0242 | |
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| 0.4276 | 21.0 | 11481 | 0.0636 | 0.0202 | 0.0229 | |
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| 0.4065 | 22.0 | 12028 | 0.0589 | 0.0183 | 0.0214 | |
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| 0.3889 | 23.0 | 12575 | 0.0554 | 0.0179 | 0.0210 | |
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| 0.3695 | 24.0 | 13122 | 0.0572 | 0.0171 | 0.0202 | |
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| 0.3536 | 25.0 | 13668 | 0.0551 | 0.0167 | 0.0189 | |
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| 0.3385 | 26.0 | 14215 | 0.0604 | 0.0169 | 0.0197 | |
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| 0.3276 | 27.0 | 14762 | 0.0581 | 0.0157 | 0.0183 | |
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| 0.3174 | 28.0 | 15309 | 0.0564 | 0.0157 | 0.0181 | |
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| 0.3093 | 29.0 | 15855 | 0.0564 | 0.0153 | 0.0180 | |
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| 0.3017 | 29.96 | 16380 | 0.0558 | 0.0156 | 0.0184 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 1.18.3 |
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- Tokenizers 0.13.3 |
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