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--- |
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license: apache-2.0 |
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base_model: google/mt5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: text-translit-detector-ru |
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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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# text-translit-detector-ru |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0393 |
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- Mean Distance: 0 |
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- Max Distance: 1 |
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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: 0.0001 |
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- train_batch_size: 15 |
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- eval_batch_size: 15 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------------:|:------------:| |
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| 0.2324 | 1.0 | 2664 | 0.1072 | 0 | 1 | |
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| 0.0151 | 2.0 | 5328 | 0.0436 | 0 | 1 | |
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| 0.0094 | 3.0 | 7992 | 0.0241 | 0 | 1 | |
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| 0.0056 | 4.0 | 10656 | 0.0309 | 0 | 1 | |
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| 0.0068 | 5.0 | 13320 | 0.0356 | 0 | 1 | |
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| 0.0041 | 6.0 | 15984 | 0.0186 | 0 | 1 | |
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| 0.0034 | 7.0 | 18648 | 0.0426 | 0 | 1 | |
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| 0.0043 | 8.0 | 21312 | 0.0172 | 0 | 1 | |
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| 0.004 | 9.0 | 23976 | 0.0272 | 0 | 1 | |
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| 0.0005 | 10.0 | 26640 | 0.0333 | 0 | 1 | |
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| 0.0025 | 11.0 | 29304 | 0.0358 | 0 | 1 | |
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| 0.0021 | 12.0 | 31968 | 0.0474 | 0 | 1 | |
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| 0.0007 | 13.0 | 34632 | 0.0402 | 0 | 1 | |
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| 0.0017 | 14.0 | 37296 | 0.0392 | 0 | 1 | |
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| 0.0007 | 15.0 | 39960 | 0.0394 | 0 | 1 | |
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| 0.0013 | 16.0 | 42624 | 0.0442 | 0 | 1 | |
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| 0.0002 | 17.0 | 45288 | 0.0443 | 0 | 1 | |
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| 0.0013 | 18.0 | 47952 | 0.0389 | 0 | 1 | |
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| 0.0001 | 19.0 | 50616 | 0.0412 | 0 | 1 | |
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| 0.0001 | 20.0 | 53280 | 0.0393 | 0 | 1 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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