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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_wr20
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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_wr20
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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: 419.5198
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+ - Wer: 0.7614
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+ - Cer: 0.3089
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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: 0.2
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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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+ | 2875.4683 | 1.0 | 3628 | 287.1173 | 0.5699 | 0.1733 |
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+ | 758.2716 | 2.0 | 7256 | 272.0594 | 0.4882 | 0.1551 |
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+ | 644.8381 | 3.0 | 10884 | 290.3244 | 0.5062 | 0.1729 |
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+ | 609.5405 | 4.0 | 14512 | 257.9622 | 0.5174 | 0.1867 |
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+ | 606.3339 | 5.0 | 18140 | 296.2997 | 0.5668 | 0.2280 |
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+ | 619.5554 | 6.0 | 21768 | 324.2591 | 0.5901 | 0.2188 |
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+ | 646.4168 | 7.0 | 25396 | 341.2834 | 0.5953 | 0.2440 |
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+ | 667.3437 | 8.0 | 29024 | 361.0744 | 0.6283 | 0.2255 |
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+ | 693.7482 | 9.0 | 32652 | 364.4579 | 0.6597 | 0.2685 |
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+ | 733.3208 | 10.0 | 36280 | 409.5368 | 0.7001 | 0.2802 |
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+ | 780.5633 | 11.0 | 39908 | 410.3908 | 0.7154 | 0.2849 |
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+ | 813.6104 | 12.0 | 43536 | 419.5198 | 0.7614 | 0.3089 |
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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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