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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: 0.0102 |
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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: 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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- 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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| 0.2779 | 1.0 | 1050 | 0.3371 | 0 | 1 | |
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| 0.0346 | 2.0 | 2100 | 0.0173 | 0 | 1 | |
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| 0.0072 | 3.0 | 3150 | 0.0077 | 0 | 1 | |
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| 0.0057 | 4.0 | 4200 | 0.0093 | 0 | 1 | |
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| 0.005 | 5.0 | 5250 | 0.0053 | 0 | 1 | |
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| 0.002 | 6.0 | 6300 | 0.0056 | 0 | 1 | |
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| 0.002 | 7.0 | 7350 | 0.0091 | 0 | 1 | |
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| 0.0018 | 8.0 | 8400 | 0.0010 | 0 | 0 | |
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| 0.0044 | 9.0 | 9450 | 0.0043 | 0 | 1 | |
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| 0.0024 | 10.0 | 10500 | 0.0048 | 0 | 1 | |
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| 0.0032 | 11.0 | 11550 | 0.0023 | 0 | 1 | |
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| 0.0028 | 12.0 | 12600 | 0.0003 | 0 | 0 | |
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| 0.0005 | 13.0 | 13650 | 0.0008 | 0 | 0 | |
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| 0.0026 | 14.0 | 14700 | 0.0012 | 0 | 1 | |
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| 0.0011 | 15.0 | 15750 | 0.0171 | 0 | 1 | |
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| 0.0 | 16.0 | 16800 | 0.0120 | 0 | 1 | |
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| 0.0001 | 17.0 | 17850 | 0.0031 | 0 | 1 | |
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| 0.0007 | 18.0 | 18900 | 0.0165 | 0 | 1 | |
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| 0.001 | 19.0 | 19950 | 0.0194 | 0 | 1 | |
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| 0.0001 | 20.0 | 21000 | 0.0102 | 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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