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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-300m
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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: Wav2vec2-fula-no0
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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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+ # Wav2vec2-fula-no0
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4417
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+ - Wer: 0.5500
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+ - Cer: 0.1528
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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: 0.0003
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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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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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: 1000
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+ - num_epochs: 60.0
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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 | Cer |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | 0.5615 | 0.1970 | 500 | 0.6706 | 0.7329 | 0.2082 |
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+ | 0.3606 | 0.3939 | 1000 | 0.5461 | 0.6352 | 0.1786 |
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+ | 0.3103 | 0.5909 | 1500 | 0.4960 | 0.6026 | 0.1695 |
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+ | 0.228 | 0.7879 | 2000 | 0.5087 | 0.5917 | 0.1635 |
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+ | 0.2502 | 0.9848 | 2500 | 0.4720 | 0.5835 | 0.1648 |
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+ | 0.2841 | 1.1816 | 3000 | 0.4652 | 0.6019 | 0.1701 |
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+ | 0.2603 | 1.3786 | 3500 | 0.4726 | 0.5685 | 0.1588 |
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+ | 0.2538 | 1.5755 | 4000 | 0.4538 | 0.5667 | 0.1573 |
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+ | 0.2215 | 1.7725 | 4500 | 0.4649 | 0.5615 | 0.1581 |
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+ | 0.2329 | 1.9695 | 5000 | 0.4407 | 0.5583 | 0.1549 |
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+ | 0.2111 | 2.1662 | 5500 | 0.4677 | 0.5529 | 0.1542 |
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+ | 0.2018 | 2.3632 | 6000 | 0.4574 | 0.5507 | 0.1531 |
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+ | 0.2421 | 2.5602 | 6500 | 0.4417 | 0.5500 | 0.1528 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.50.3
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+ - Pytorch 2.7.0+cu126
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+ - Datasets 3.5.0
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+ - Tokenizers 0.21.1
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