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xls-r-1b-fr

Automatic Speech Recognition
Transformers
PyTorch
French
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Inference Endpoints
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  2. wandb/run-20220201_234440-21bzabyi/files/output.log +95 -0
  3. wandb/run-20220201_234440-21bzabyi/logs/debug-internal.log +123 -0
  4. wandb/run-20220201_234440-21bzabyi/run-21bzabyi.wandb +2 -2
README.md ADDED
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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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+ model-index:
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+ - name: ''
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+ results: []
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+ ---
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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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+
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+ #
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.5341
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+ - Wer: 0.9874
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 7.5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 128
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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: 2000
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+ - num_epochs: 5.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 1.0326 | 0.32 | 1000 | 0.3092 | 0.2718 |
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+ | 1.0828 | 0.65 | 2000 | 0.2843 | 0.2606 |
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+ | 1.0771 | 0.97 | 3000 | 0.2774 | 0.2488 |
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+ | 1.0306 | 1.3 | 4000 | 0.2588 | 0.2351 |
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+ | 1.0052 | 1.62 | 5000 | 0.2483 | 0.2284 |
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+ | 0.9865 | 1.94 | 6000 | 0.2464 | 0.2220 |
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+ | 0.978 | 2.27 | 7000 | 0.2514 | 0.2172 |
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+ | 1.7438 | 2.59 | 8000 | 0.7983 | 0.5072 |
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+ | 2.3309 | 2.92 | 9000 | 1.8917 | 0.9416 |
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+ | 2.1834 | 3.24 | 10000 | 1.7496 | 0.9030 |
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+ | 2.3047 | 3.56 | 11000 | 1.5377 | 0.8747 |
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+ | 2.1378 | 3.89 | 12000 | 1.3501 | 0.7923 |
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+ | 1.9812 | 4.21 | 13000 | 1.2662 | 0.7697 |
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+ | 2.6855 | 4.54 | 14000 | 2.4120 | 0.9902 |
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+ | 2.7482 | 4.86 | 15000 | 2.5341 | 0.9874 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0.dev0
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+ - Pytorch 1.10.2+cu102
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+ - Datasets 1.18.2.dev0
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+ - Tokenizers 0.11.0
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