metadata
base_model: ad019el/tamasheq-99-final
datasets:
- ad019el/ar_data
- heisenberg1337/tamasheq_data
metrics:
- cer
- wer
tags:
- generated_from_trainer
model-index: - name: tamasheq-99-final results: []
tamasheq-99-final
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-arabic on the None dataset. It achieves the following results on the evaluation set:
- Cer: 16.2959
- Wer: 55.5334
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
Training results
| step | tamasheq_wer | arabic_wer | tamasheq_cer | arabic_cer |
|---|---|---|---|---|
| Before train | 104.985 | 23.1305 | 67.4458 | 7.30972 |
| step 300 | 99.5513 | 23.0544 | 49.7078 | 7.1043 |
| step 600 | 95.1147 | 22.5267 | 41.4515 | 6.0098 |
| step 900 | 93.5194 | 21.0404 | 38.0867 | 5.52939 |
| step 1200 | 92.5723 | 20.6224 | 37.0877 | 5.39751 |
| step 1500 | 92.3009 | 20.9238 | 36.9915 | 5.6718 |
| step 1800 | 92.0738 | 21.2699 | 36.3713 | 6.08877 |
| step 2100 | 88.7338 | 21.9693 | 33.3648 | 5.9156 |
| step 2400 | 87.1884 | 21.1333 | 31.8379 | 5.52939 |
| step 2700 | 88.299 | 21.0705 | 31.4599 | 5.5078 |
| step 3000 | 87.7866 | 21.5021 | 30.9039 | 6.29239 |
| step 3300 | 84.2971 | 21.666 | 29.7455 | 5.97212 |
| step 3600 | 83.8983 | 21.5732 | 28.6145 | 6.04748 |
| step 3900 | 81.8544 | 22.1087 | 27.9359 | 5.99096 |
| step 4200 | 82.9741 | 23.392 | 27.4288 | 6.4013 |
| step 4500 | 83.8485 | 24.2452 | 27.0575 | 6.79164 |
| step 4800 | 81.6052 | 22.666 | 26.6918 | 6.09457 |
| step 5100 | 77.9661 | 22.4803 | 25.1084 | 6.0098 |
| step 5400 | 77.2183 | 21.83 | 24.656 | 5.9156 |
| step 5700 | 76.672 | 22.1078 | 24.2606 | 6.0802 |
| step 6000 | 76.2712 | 22.7589 | 23.9236 | 6.41485 |
| step 6300 | 75.7228 | 23.8737 | 23.7135 | 6.78222 |
| step 6600 | 71.2363 | 23.177 | 22.196 | 6.39601 |
| step 6900 | 69.8405 | 22.7125 | 21.574 | 6.21703 |
| step 7200 | 72.9452 | 23.6679 | 21.0775 | 6.6918 |
| step 7500 | 75.9222 | 24.7097 | 20.8999 | 7.17784 |
| step 7800 | 67.4975 | 23.1305 | 20.6786 | 6.65034 |
| step 8100 | 65.2542 | 23.1305 | 19.7361 | 6.49962 |
| step 8400 | 61.7149 | 22.3874 | 18.426 | 6.12283 |
| step 8700 | 63.8046 | 23.6679 | 18.2166 | 6.2679 |
| step 9000 | 64.7059 | 24.1059 | 17.9952 | 6.66918 |
| step 9300 | 67.5474 | 24.7097 | 17.6078 | 7.16843 |
| step 9600 | 57.1286 | 23.3163 | 17.2385 | 6.66918 |
| step 9900 | 58.2752 | 22.8054 | 17.1065 | 6.4431 |
| step 10200 | 57.7767 | 24.2917 | 16.848 | 6.68802 |
| step 10500 | 55.2841 | 25.1277 | 16.5033 | 7.12133 |
| step 10800 | 52.5424 | 23.8272 | 15.9566 | 6.80106 |
| step 11100 | 55.5334 | 24.6168 | 16.2959 | 6.94235 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3