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badrex / xlsr-he-adap-es
Model's Last Updated: June 07 2024
automatic-speech-recognition
Introduction of xlsr-he-adap-es
Model Details of xlsr-he-adap-es
xlsr-he-adap-es
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: 2.3575
- Wer: 0.7473
- Cer: 0.3212
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 |
|---|---|---|---|---|---|
| 4.9752 | 3.3333 | 100 | 5.0053 | 1.0 | 1.0 |
| 3.5082 | 6.6667 | 200 | 3.7745 | 1.0 | 1.0 |
| 3.3178 | 10.0 | 300 | 3.4926 | 1.0 | 1.0 |
| 3.2202 | 13.3333 | 400 | 3.4051 | 1.0 | 1.0 |
| 3.2765 | 16.6667 | 500 | 3.4608 | 1.0 | 0.9692 |
| 3.1366 | 20.0 | 600 | 3.4355 | 0.9990 | 0.9359 |
| 3.1141 | 23.3333 | 700 | 3.3969 | 1.0 | 0.9301 |
| 2.6831 | 26.6667 | 800 | 2.8457 | 1.0239 | 0.7439 |
| 1.2342 | 30.0 | 900 | 1.7356 | 0.8983 | 0.4213 |
| 0.6381 | 33.3333 | 1000 | 1.3967 | 0.8541 | 0.3920 |
| 0.7105 | 36.6667 | 1100 | 1.4446 | 0.8261 | 0.3728 |
| 0.5292 | 40.0 | 1200 | 1.7486 | 0.8180 | 0.3681 |
| 0.2724 | 43.3333 | 1300 | 1.6140 | 0.8231 | 0.3571 |
| 0.3193 | 46.6667 | 1400 | 1.7165 | 0.8327 | 0.3538 |
| 0.304 | 50.0 | 1500 | 1.8261 | 0.7911 | 0.3372 |
| 0.1434 | 53.3333 | 1600 | 1.8850 | 0.7875 | 0.3361 |
| 0.151 | 56.6667 | 1700 | 1.9615 | 0.7824 | 0.3377 |
| 0.1663 | 60.0 | 1800 | 2.0116 | 0.7850 | 0.3352 |
| 0.1473 | 63.3333 | 1900 | 2.0547 | 0.7748 | 0.3309 |
| 0.1021 | 66.6667 | 2000 | 2.2370 | 0.7682 | 0.3305 |
| 0.1984 | 70.0 | 2100 | 2.2134 | 0.7560 | 0.3257 |
| 0.1731 | 73.3333 | 2200 | 2.2655 | 0.7483 | 0.3265 |
| 0.2154 | 76.6667 | 2300 | 2.3460 | 0.7514 | 0.3266 |
| 0.1106 | 80.0 | 2400 | 2.2466 | 0.7585 | 0.3260 |
| 0.1152 | 83.3333 | 2500 | 2.2369 | 0.7631 | 0.3309 |
| 0.0955 | 86.6667 | 2600 | 2.2950 | 0.7499 | 0.3223 |
| 0.1673 | 90.0 | 2700 | 2.3182 | 0.7453 | 0.3202 |
| 0.1635 | 93.3333 | 2800 | 2.3247 | 0.7428 | 0.3201 |
| 0.101 | 96.6667 | 2900 | 2.3576 | 0.7463 | 0.3215 |
| 0.1347 | 100.0 | 3000 | 2.3575 | 0.7473 | 0.3212 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
Runs of badrex xlsr-he-adap-es on huggingface.co
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More Information About xlsr-he-adap-es huggingface.co Model
Url of xlsr-he-adap-es
xlsr-he-adap-es huggingface.co Url
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Other API from badrex
Updated:March 28 2026
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