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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-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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# wav2vec2-large-xls-r-300m-Arabic-phoneme-based-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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0380 |
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- Per: 0.0182 |
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- Wer: 0.0209 |
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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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| 2.3253 | 1.0 | 546 | 1.6463 | 0.9997 | 0.9990 | |
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| 1.7194 | 2.0 | 1093 | 1.4798 | 0.9993 | 0.9985 | |
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| 1.6318 | 3.0 | 1640 | 1.2181 | 0.9304 | 0.9399 | |
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| 1.4017 | 4.0 | 2187 | 0.5801 | 0.2704 | 0.3889 | |
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| 0.9203 | 5.0 | 2733 | 0.1995 | 0.1330 | 0.1439 | |
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| 0.669 | 6.0 | 3280 | 0.1462 | 0.0867 | 0.0928 | |
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| 0.5585 | 7.0 | 3827 | 0.0925 | 0.0739 | 0.0752 | |
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| 0.4954 | 8.0 | 4374 | 0.0795 | 0.0601 | 0.0573 | |
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| 0.4536 | 9.0 | 4920 | 0.0714 | 0.0498 | 0.0530 | |
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| 0.4183 | 10.0 | 5467 | 0.0726 | 0.0652 | 0.0679 | |
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| 0.3896 | 11.0 | 6014 | 0.0782 | 0.0566 | 0.0553 | |
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| 0.3643 | 12.0 | 6561 | 0.0713 | 0.0502 | 0.0514 | |
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| 0.3391 | 13.0 | 7107 | 0.0928 | 0.0693 | 0.0702 | |
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| 0.3229 | 14.0 | 7654 | 0.0596 | 0.0503 | 0.0484 | |
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| 0.3038 | 15.0 | 8201 | 0.0651 | 0.0531 | 0.0547 | |
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| 0.2853 | 16.0 | 8748 | 0.0577 | 0.0483 | 0.0473 | |
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| 0.2736 | 17.0 | 9294 | 0.0542 | 0.0463 | 0.0485 | |
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| 0.2603 | 18.0 | 9841 | 0.0519 | 0.0327 | 0.0325 | |
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| 0.2472 | 19.0 | 10388 | 0.0513 | 0.0336 | 0.0351 | |
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| 0.2346 | 20.0 | 10935 | 0.0589 | 0.0281 | 0.0310 | |
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| 0.2265 | 21.0 | 11481 | 0.0499 | 0.0285 | 0.0312 | |
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| 0.214 | 22.0 | 12028 | 0.0485 | 0.0281 | 0.0342 | |
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| 0.2045 | 23.0 | 12575 | 0.0479 | 0.0273 | 0.0295 | |
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| 0.1917 | 24.0 | 13122 | 0.0457 | 0.0267 | 0.0286 | |
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| 0.1814 | 25.0 | 13668 | 0.0423 | 0.0224 | 0.0265 | |
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| 0.1769 | 26.0 | 14215 | 0.0442 | 0.0243 | 0.0264 | |
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| 0.1682 | 27.0 | 14762 | 0.0396 | 0.0200 | 0.0235 | |
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| 0.161 | 28.0 | 15309 | 0.0386 | 0.0190 | 0.0225 | |
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| 0.1572 | 29.0 | 15855 | 0.0383 | 0.0186 | 0.0216 | |
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| 0.1502 | 29.96 | 16380 | 0.0380 | 0.0182 | 0.0209 | |
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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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