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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-xls-r-1b
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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: xls-r-1b-bigcgen-combined-15hrs-model
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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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+ # xls-r-1b-bigcgen-combined-15hrs-model
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6606
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+ - Wer: 0.7041
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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: 3e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 30.0
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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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+ | No log | 0.1410 | 100 | 3.8893 | 1.0 |
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+ | No log | 0.2821 | 200 | 2.6866 | 1.0 |
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+ | No log | 0.4231 | 300 | 1.4204 | 1.0 |
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+ | No log | 0.5642 | 400 | 0.8780 | 0.8847 |
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+ | 5.5784 | 0.7052 | 500 | 0.8821 | 0.9583 |
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+ | 5.5784 | 0.8463 | 600 | 0.6898 | 0.7509 |
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+ | 5.5784 | 0.9873 | 700 | 0.6910 | 0.8690 |
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+ | 5.5784 | 1.1283 | 800 | 0.6632 | 0.6810 |
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+ | 5.5784 | 1.2694 | 900 | 0.6165 | 0.6048 |
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+ | 1.2954 | 1.4104 | 1000 | 0.6006 | 0.6134 |
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+ | 1.2954 | 1.5515 | 1100 | 0.6859 | 0.7684 |
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+ | 1.2954 | 1.6925 | 1200 | 0.5857 | 0.6273 |
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+ | 1.2954 | 1.8336 | 1300 | 0.6305 | 0.6155 |
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+ | 1.2954 | 1.9746 | 1400 | 0.6213 | 0.5856 |
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+ | 1.1582 | 2.1157 | 1500 | 0.5891 | 0.5984 |
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+ | 1.1582 | 2.2567 | 1600 | 0.6606 | 0.7041 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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