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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: google/byt5-small |
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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: byt5-small-finetuned-yiddish-experiment-11 |
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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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# byt5-small-finetuned-yiddish-experiment-11 |
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This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1805 |
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- Cer: 0.1974 |
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- Wer: 0.5776 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: cosine |
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- lr_scheduler_warmup_steps: 600 |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | Wer | |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:| |
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| 9.199 | 1.8868 | 100 | 10.8497 | 0.2853 | 0.7144 | |
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| 9.1103 | 3.7736 | 200 | 10.3073 | 0.2701 | 0.6874 | |
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| 8.5159 | 5.6604 | 300 | 9.1649 | 0.2579 | 0.6603 | |
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| 7.6411 | 7.5472 | 400 | 7.9065 | 0.2445 | 0.6396 | |
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| 6.8548 | 9.4340 | 500 | 6.6809 | 0.2340 | 0.6237 | |
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| 6.1063 | 11.3208 | 600 | 5.4130 | 0.2272 | 0.6142 | |
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| 4.7529 | 13.2075 | 700 | 4.1840 | 0.2224 | 0.6126 | |
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| 3.7885 | 15.0943 | 800 | 3.1426 | 0.2183 | 0.6110 | |
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| 2.9438 | 16.9811 | 900 | 2.1589 | 0.2141 | 0.6038 | |
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| 2.1457 | 18.8679 | 1000 | 1.4059 | 0.2101 | 0.5951 | |
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| 1.6163 | 20.7547 | 1100 | 1.2903 | 0.2053 | 0.5863 | |
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| 1.3877 | 22.6415 | 1200 | 1.2429 | 0.2024 | 0.5855 | |
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| 1.3156 | 24.5283 | 1300 | 1.2100 | 0.1984 | 0.5784 | |
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| 1.2623 | 26.4151 | 1400 | 1.1897 | 0.1981 | 0.5776 | |
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| 1.2381 | 28.3019 | 1500 | 1.1805 | 0.1974 | 0.5776 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 2.14.4 |
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- Tokenizers 0.21.0 |
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