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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-5hrs
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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-5hrs
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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: 0.6944
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+ - Wer: 0.6600
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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 | 0.4228 | 100 | 3.7787 | 1.0 |
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+ | No log | 0.8457 | 200 | 2.8642 | 1.0 |
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+ | No log | 1.2664 | 300 | 1.1326 | 0.9986 |
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+ | No log | 1.6892 | 400 | 0.8747 | 0.8281 |
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+ | 5.818 | 2.1099 | 500 | 0.7865 | 0.8027 |
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+ | 5.818 | 2.5328 | 600 | 0.6710 | 0.6954 |
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+ | 5.818 | 2.9556 | 700 | 0.7234 | 0.7939 |
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+ | 5.818 | 3.3763 | 800 | 0.6657 | 0.6706 |
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+ | 5.818 | 3.7992 | 900 | 0.6836 | 0.7246 |
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+ | 1.2021 | 4.2199 | 1000 | 0.6894 | 0.6897 |
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+ | 1.2021 | 4.6427 | 1100 | 0.6464 | 0.6642 |
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+ | 1.2021 | 5.0634 | 1200 | 0.6663 | 0.6777 |
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+ | 1.2021 | 5.4863 | 1300 | 0.6701 | 0.6704 |
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+ | 1.2021 | 5.9091 | 1400 | 0.6834 | 0.6899 |
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+ | 0.8307 | 6.3298 | 1500 | 0.6944 | 0.6600 |
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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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