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badrex / xlsr-am
Model's Last Updated: June 07 2024
automatic-speech-recognition
Introduction of xlsr-am
Model Details of xlsr-am
xlsr-am
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.8958
- Wer: 0.7517
- Cer: 0.2979
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: 0.0003
- 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
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 10.3463 | 3.0303 | 100 | 10.0110 | 1.0 | 1.0 |
| 4.3623 | 6.0606 | 200 | 4.3644 | 1.0 | 1.0 |
| 4.0873 | 9.0909 | 300 | 4.1130 | 1.0 | 0.9883 |
| 4.0428 | 12.1212 | 400 | 4.0742 | 1.0 | 0.9767 |
| 3.7646 | 15.1515 | 500 | 3.7872 | 1.0 | 0.9661 |
| 1.0192 | 18.1818 | 600 | 1.8339 | 0.9417 | 0.4527 |
| 0.4959 | 21.2121 | 700 | 1.6366 | 0.8650 | 0.3749 |
| 0.2754 | 24.2424 | 800 | 1.7326 | 0.8551 | 0.3833 |
| 0.2304 | 27.2727 | 900 | 1.8165 | 0.8699 | 0.3758 |
| 0.1876 | 30.3030 | 1000 | 1.8443 | 0.8260 | 0.3691 |
| 0.1889 | 33.3333 | 1100 | 1.7996 | 0.8248 | 0.3666 |
| 0.1787 | 36.3636 | 1200 | 1.8101 | 0.8067 | 0.3425 |
| 0.1099 | 39.3939 | 1300 | 1.8464 | 0.8256 | 0.3464 |
| 0.164 | 42.4242 | 1400 | 1.8417 | 0.7977 | 0.3337 |
| 0.1236 | 45.4545 | 1500 | 1.9786 | 0.8047 | 0.3414 |
| 0.1262 | 48.4848 | 1600 | 1.8451 | 0.7989 | 0.3344 |
| 0.1075 | 51.5152 | 1700 | 1.8909 | 0.7944 | 0.3369 |
| 0.1251 | 54.5455 | 1800 | 1.8848 | 0.8006 | 0.3252 |
| 0.0919 | 57.5758 | 1900 | 1.9425 | 0.7833 | 0.3230 |
| 0.0648 | 60.6061 | 2000 | 1.9384 | 0.7809 | 0.3262 |
| 0.0677 | 63.6364 | 2100 | 1.9723 | 0.7985 | 0.3338 |
| 0.0725 | 66.6667 | 2200 | 1.9917 | 0.7899 | 0.3292 |
| 0.0759 | 69.6970 | 2300 | 1.9070 | 0.7928 | 0.3210 |
| 0.0837 | 72.7273 | 2400 | 1.8595 | 0.7673 | 0.3103 |
| 0.0535 | 75.7576 | 2500 | 1.8503 | 0.7600 | 0.3086 |
| 0.0477 | 78.7879 | 2600 | 1.8926 | 0.7600 | 0.3109 |
| 0.0664 | 81.8182 | 2700 | 1.8792 | 0.7657 | 0.3100 |
| 0.0671 | 84.8485 | 2800 | 1.8895 | 0.7522 | 0.3038 |
| 0.0555 | 87.8788 | 2900 | 1.8770 | 0.7558 | 0.3055 |
| 0.027 | 90.9091 | 3000 | 1.9048 | 0.7583 | 0.3027 |
| 0.052 | 93.9394 | 3100 | 1.9058 | 0.7542 | 0.3015 |
| 0.0301 | 96.9697 | 3200 | 1.9015 | 0.7534 | 0.2996 |
| 0.027 | 100.0 | 3300 | 1.8958 | 0.7517 | 0.2979 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
Runs of badrex xlsr-am on huggingface.co
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More Information About xlsr-am huggingface.co Model
Url of xlsr-am
xlsr-am huggingface.co Url
Provider of xlsr-am huggingface.co
Other API from badrex
Updated:March 28 2026
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