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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large-xlsr-53 |
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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: mascir_fr_wav2vec_test |
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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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# mascir_fr_wav2vec_test |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0136 |
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- Wer: 0.1612 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 8.06 | 250 | 3.7503 | 0.9919 | |
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| 8.0637 | 16.13 | 500 | 3.0132 | 0.9919 | |
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| 8.0637 | 24.19 | 750 | 2.9734 | 0.9919 | |
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| 2.9339 | 32.26 | 1000 | 2.0538 | 0.9963 | |
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| 2.9339 | 40.32 | 1250 | 0.4530 | 0.5406 | |
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| 0.9878 | 48.39 | 1500 | 0.1807 | 0.3373 | |
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| 0.9878 | 56.45 | 1750 | 0.0814 | 0.2436 | |
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| 0.3416 | 64.52 | 2000 | 0.0512 | 0.2114 | |
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| 0.3416 | 72.58 | 2250 | 0.0292 | 0.1823 | |
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| 0.1952 | 80.65 | 2500 | 0.0198 | 0.1742 | |
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| 0.1952 | 88.71 | 2750 | 0.0158 | 0.1631 | |
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| 0.1476 | 96.77 | 3000 | 0.0136 | 0.1612 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.1 |
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- Tokenizers 0.13.3 |
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