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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: transliterate_try
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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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# transliterate_try
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0742
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- Precision: 0.9794
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- Recall: 0.9794
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- F1: 0.9794
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- Accuracy: 0.9794
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 68 | 0.1381 | 0.9538 | 0.9538 | 0.9538 | 0.9538 |
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| No log | 2.0 | 136 | 0.1083 | 0.9650 | 0.9650 | 0.9650 | 0.9650 |
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| No log | 3.0 | 204 | 0.0923 | 0.9701 | 0.9701 | 0.9701 | 0.9701 |
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| No log | 4.0 | 272 | 0.0940 | 0.9714 | 0.9714 | 0.9714 | 0.9714 |
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| No log | 5.0 | 340 | 0.0892 | 0.9735 | 0.9735 | 0.9735 | 0.9735 |
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| No log | 6.0 | 408 | 0.0765 | 0.9776 | 0.9776 | 0.9776 | 0.9776 |
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| No log | 7.0 | 476 | 0.0781 | 0.9773 | 0.9773 | 0.9773 | 0.9773 |
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| No log | 8.0 | 544 | 0.0784 | 0.9781 | 0.9781 | 0.9781 | 0.9781 |
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| No log | 9.0 | 612 | 0.0723 | 0.9797 | 0.9797 | 0.9797 | 0.9797 |
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| No log | 10.0 | 680 | 0.0742 | 0.9794 | 0.9794 | 0.9794 | 0.9794 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 1.13.0+cu117
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- Datasets 2.11.0
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- Tokenizers 0.11.6
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