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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-female-5hrs-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-female-5hrs-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: 1.0235
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+ - Wer: 0.8309
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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 | 0.4237 | 100 | 3.7316 | 1.0 |
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+ | No log | 0.8475 | 200 | 2.8335 | 1.0 |
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+ | No log | 1.2712 | 300 | 2.0310 | 1.0 |
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+ | No log | 1.6949 | 400 | 1.1695 | 0.9975 |
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+ | 5.5638 | 2.1186 | 500 | 1.1579 | 0.9917 |
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+ | 5.5638 | 2.5424 | 600 | 1.1173 | 0.9931 |
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+ | 5.5638 | 2.9661 | 700 | 0.9185 | 0.7612 |
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+ | 5.5638 | 3.3898 | 800 | 0.8461 | 0.8634 |
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+ | 5.5638 | 3.8136 | 900 | 0.7551 | 0.7391 |
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+ | 1.2967 | 4.2373 | 1000 | 0.8461 | 0.8179 |
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+ | 1.2967 | 4.6610 | 1100 | 1.0126 | 0.9311 |
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+ | 1.2967 | 5.0847 | 1200 | 0.7473 | 0.7077 |
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+ | 1.2967 | 5.5085 | 1300 | 0.7741 | 0.7567 |
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+ | 1.2967 | 5.9322 | 1400 | 0.8527 | 0.7521 |
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+ | 0.8911 | 6.3559 | 1500 | 0.9529 | 0.8052 |
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+ | 0.8911 | 6.7797 | 1600 | 1.0235 | 0.8309 |
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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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