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wav2vec2-xls-r-1b-medical-domain02

Automatic Speech Recognition
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Safetensors
wav2vec2
Generated from Trainer
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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/May30_11-58-40_jupyter-yannatorres-40alu-2eufc-2ebr/events.out.tfevents.1717070423.jupyter-yannatorres-40alu-2eufc-2ebr.7348.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,8 +1,8 @@
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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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- base_model: jonatasgrosman/wav2vec2-xls-r-1b-portuguese
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  metrics:
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  - wer
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  model-index:
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.6401
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- - Wer: 0.6808
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  ## Model description
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@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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- | No log | 4.9689 | 100 | 0.3543 | 0.4045 |
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- | No log | 9.9379 | 200 | 0.2721 | 0.3090 |
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- | No log | 14.9068 | 300 | 0.2918 | 0.3371 |
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- | 1.2666 | 19.8758 | 400 | 0.6475 | 0.8076 |
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- | 1.2666 | 24.8447 | 500 | 0.6500 | 0.6492 |
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- | 1.2666 | 29.8137 | 600 | 0.6380 | 0.6834 |
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- | 1.2666 | 34.7826 | 700 | 0.6401 | 0.6808 |
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- | 0.5863 | 39.7516 | 800 | 0.6401 | 0.6808 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: jonatasgrosman/wav2vec2-xls-r-1b-portuguese
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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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  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: 0.7948
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+ - Wer: 0.7625
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | No log | 4.9689 | 100 | 3.0689 | 1.0 |
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+ | No log | 9.9379 | 200 | 0.6458 | 0.6539 |
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+ | No log | 14.9068 | 300 | 0.4059 | 0.4748 |
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+ | 2.4261 | 19.8758 | 400 | 0.5375 | 0.5975 |
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+ | 2.4261 | 24.8447 | 500 | 0.7920 | 0.7268 |
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+ | 2.4261 | 29.8137 | 600 | 0.7915 | 0.7660 |
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+ | 2.4261 | 34.7826 | 700 | 0.7948 | 0.7625 |
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+ | 0.7229 | 39.7516 | 800 | 0.7948 | 0.7625 |
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  ### Framework versions
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