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README.md ADDED
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+ ---
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+ library_name: transformers
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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: base_sami_22k_cont_pt_ftpseudo_wr15
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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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+ # base_sami_22k_cont_pt_ftpseudo_wr15
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 418.4753
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+ - Wer: 0.7314
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+ - Cer: 0.2984
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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: 0.0005
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.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_ratio: 0.15
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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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+ | 2898.1974 | 1.0 | 3628 | 315.9604 | 0.6330 | 0.1893 |
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+ | 757.7022 | 2.0 | 7256 | 279.5220 | 0.5065 | 0.1721 |
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+ | 662.3705 | 3.0 | 10884 | 301.2926 | 0.5251 | 0.1764 |
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+ | 647.4321 | 4.0 | 14512 | 309.8589 | 0.5494 | 0.2027 |
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+ | 659.7851 | 5.0 | 18140 | 309.3199 | 0.5862 | 0.2070 |
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+ | 692.9787 | 6.0 | 21768 | 373.3183 | 0.6487 | 0.2412 |
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+ | 739.3389 | 7.0 | 25396 | 379.1962 | 0.6765 | 0.2556 |
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+ | 786.0181 | 8.0 | 29024 | 414.1455 | 0.7022 | 0.2729 |
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+ | 827.0145 | 9.0 | 32652 | 441.2162 | 0.7871 | 0.3400 |
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+ | 849.8929 | 10.0 | 36280 | 422.3855 | 0.7259 | 0.2963 |
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+ | 830.547 | 11.0 | 39908 | 426.6281 | 0.7506 | 0.3046 |
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+ | 803.7191 | 12.0 | 43536 | 418.4753 | 0.7314 | 0.2984 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.3
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+ - Pytorch 2.5.1
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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