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update model card README.md
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README.md
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---
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license: apache-2.0
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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-xlsr-1b-mecita-portuguese-all-text-protecao_aos_pandas-os_morcegos
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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-xlsr-1b-mecita-portuguese-all-text-protecao_aos_pandas-os_morcegos
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-xls-r-1b-portuguese](https://huggingface.co/jonatasgrosman/wav2vec2-xls-r-1b-portuguese) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2537
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- Wer: 0.0787
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- Cer: 0.0290
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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: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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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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- num_epochs: 100
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 13.2168 | 0.98 | 21 | 2.9122 | 1.0 | 1.0 |
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| 13.2168 | 2.0 | 43 | 2.9751 | 1.0 | 1.0 |
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| 13.2168 | 2.98 | 64 | 2.8292 | 1.0 | 1.0 |
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| 13.2168 | 4.0 | 86 | 2.5873 | 0.9992 | 0.9999 |
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| 3.3173 | 4.98 | 107 | 1.0785 | 0.8941 | 0.2358 |
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| 3.3173 | 6.0 | 129 | 0.3222 | 0.2305 | 0.0611 |
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| 3.3173 | 6.98 | 150 | 0.2691 | 0.1363 | 0.0425 |
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| 3.3173 | 8.0 | 172 | 0.2318 | 0.1168 | 0.0373 |
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| 3.3173 | 8.98 | 193 | 0.2221 | 0.0966 | 0.0339 |
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| 0.5524 | 10.0 | 215 | 0.2299 | 0.1028 | 0.0349 |
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| 0.5524 | 10.98 | 236 | 0.2225 | 0.0911 | 0.0322 |
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| 0.5524 | 12.0 | 258 | 0.2197 | 0.0981 | 0.0334 |
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| 0.5524 | 12.98 | 279 | 0.2268 | 0.0919 | 0.0323 |
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| 0.2169 | 14.0 | 301 | 0.2250 | 0.0966 | 0.0330 |
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| 0.2169 | 14.98 | 322 | 0.2343 | 0.0950 | 0.0337 |
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| 0.2169 | 16.0 | 344 | 0.2350 | 0.0942 | 0.0329 |
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| 0.2169 | 16.98 | 365 | 0.2256 | 0.0919 | 0.0319 |
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| 0.2169 | 18.0 | 387 | 0.2336 | 0.0802 | 0.0308 |
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| 0.1634 | 18.98 | 408 | 0.2233 | 0.0826 | 0.0306 |
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| 0.1634 | 20.0 | 430 | 0.2344 | 0.0826 | 0.0306 |
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| 0.1634 | 20.98 | 451 | 0.2270 | 0.0818 | 0.0301 |
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| 0.1634 | 22.0 | 473 | 0.2260 | 0.0857 | 0.0305 |
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| 0.1634 | 22.98 | 494 | 0.2460 | 0.0841 | 0.0305 |
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| 0.1322 | 24.0 | 516 | 0.2343 | 0.0748 | 0.0292 |
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| 0.1322 | 24.98 | 537 | 0.2455 | 0.0794 | 0.0297 |
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| 0.1322 | 26.0 | 559 | 0.2429 | 0.0787 | 0.0293 |
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| 0.1322 | 26.98 | 580 | 0.2337 | 0.0810 | 0.0304 |
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| 0.1123 | 28.0 | 602 | 0.2428 | 0.0794 | 0.0296 |
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| 0.1123 | 28.98 | 623 | 0.2420 | 0.0755 | 0.0294 |
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| 0.1123 | 30.0 | 645 | 0.2447 | 0.0787 | 0.0292 |
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| 0.1123 | 30.98 | 666 | 0.2496 | 0.0763 | 0.0288 |
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| 0.1123 | 32.0 | 688 | 0.2537 | 0.0787 | 0.0290 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.17.0
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- Tokenizers 0.13.3
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