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--- |
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base_model: outputs/checkpoint-11500 |
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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: Regional_BnASR |
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results: [] |
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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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# Regional_BnASR |
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This model is a fine-tuned version of [outputs/checkpoint-11500](https://huggingface.co/outputs/checkpoint-11500) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8498 |
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- Wer: 0.7432 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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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: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 20000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 2.4681 | 1.25 | 500 | 9.8862 | 0.9367 | |
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| 2.0154 | 2.51 | 1000 | 9.1645 | 0.9174 | |
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| 1.9749 | 3.76 | 1500 | 7.8777 | 0.8787 | |
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| 1.9293 | 5.02 | 2000 | 8.7211 | 0.8949 | |
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| 1.8588 | 6.27 | 2500 | 8.5633 | 0.8851 | |
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| 1.8637 | 7.52 | 3000 | 8.9099 | 0.8895 | |
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| 1.7904 | 8.79 | 3500 | 8.5780 | 0.8846 | |
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| 1.8647 | 10.04 | 4000 | 8.9881 | 0.8900 | |
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| 1.8229 | 11.3 | 4500 | 8.6372 | 0.8818 | |
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| 1.8365 | 12.56 | 5000 | 8.5890 | 0.8793 | |
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| 1.7912 | 13.81 | 5500 | 8.6685 | 0.8809 | |
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| 1.792 | 15.07 | 6000 | 8.6862 | 0.8796 | |
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| 1.7924 | 16.33 | 6500 | 8.5065 | 0.8763 | |
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| 1.7685 | 17.58 | 7000 | 8.8943 | 0.8840 | |
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| 1.8004 | 18.84 | 7500 | 9.0298 | 0.8861 | |
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| 1.7792 | 20.09 | 8000 | 8.8783 | 0.8818 | |
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| 1.7749 | 21.35 | 8500 | 8.8410 | 0.8811 | |
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| 1.8002 | 22.61 | 9000 | 8.8083 | 0.8804 | |
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| 1.7496 | 23.86 | 9500 | 8.8536 | 0.8815 | |
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| 1.7625 | 25.12 | 10000 | 8.8653 | 0.8816 | |
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| 1.7468 | 26.38 | 10500 | 8.8854 | 0.8826 | |
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| 1.7533 | 27.63 | 11000 | 8.8604 | 0.8799 | |
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| 1.7507 | 28.89 | 11500 | 8.6150 | 0.8743 | |
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| 1.766 | 30.14 | 12000 | 9.2126 | 0.8894 | |
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| 1.7641 | 31.39 | 12500 | 8.7537 | 0.8770 | |
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| 1.7673 | 32.65 | 13000 | 8.7769 | 0.8764 | |
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| 1.7281 | 33.92 | 13500 | 8.8294 | 0.8767 | |
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| 1.7315 | 35.17 | 14000 | 9.0875 | 0.8827 | |
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| 1.7271 | 36.42 | 14500 | 9.0619 | 0.8826 | |
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| 1.8015 | 52.26 | 15000 | 2.8379 | 0.7426 | |
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| 1.8405 | 54.0 | 15500 | 2.8486 | 0.7434 | |
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| 1.8206 | 55.73 | 16000 | 2.8677 | 0.7445 | |
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| 1.8401 | 57.47 | 16500 | 2.8111 | 0.7418 | |
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| 1.781 | 59.21 | 17000 | 2.8444 | 0.7430 | |
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| 1.7892 | 60.95 | 17500 | 2.8829 | 0.7445 | |
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| 1.8344 | 62.68 | 18000 | 2.8498 | 0.7432 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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