metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: text-translit-detector-ru
results: []
text-translit-detector-ru
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0393
- Mean Distance: 0
- Max Distance: 1
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 15
- eval_batch_size: 15
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance |
|---|---|---|---|---|---|
| 0.2324 | 1.0 | 2664 | 0.1072 | 0 | 1 |
| 0.0151 | 2.0 | 5328 | 0.0436 | 0 | 1 |
| 0.0094 | 3.0 | 7992 | 0.0241 | 0 | 1 |
| 0.0056 | 4.0 | 10656 | 0.0309 | 0 | 1 |
| 0.0068 | 5.0 | 13320 | 0.0356 | 0 | 1 |
| 0.0041 | 6.0 | 15984 | 0.0186 | 0 | 1 |
| 0.0034 | 7.0 | 18648 | 0.0426 | 0 | 1 |
| 0.0043 | 8.0 | 21312 | 0.0172 | 0 | 1 |
| 0.004 | 9.0 | 23976 | 0.0272 | 0 | 1 |
| 0.0005 | 10.0 | 26640 | 0.0333 | 0 | 1 |
| 0.0025 | 11.0 | 29304 | 0.0358 | 0 | 1 |
| 0.0021 | 12.0 | 31968 | 0.0474 | 0 | 1 |
| 0.0007 | 13.0 | 34632 | 0.0402 | 0 | 1 |
| 0.0017 | 14.0 | 37296 | 0.0392 | 0 | 1 |
| 0.0007 | 15.0 | 39960 | 0.0394 | 0 | 1 |
| 0.0013 | 16.0 | 42624 | 0.0442 | 0 | 1 |
| 0.0002 | 17.0 | 45288 | 0.0443 | 0 | 1 |
| 0.0013 | 18.0 | 47952 | 0.0389 | 0 | 1 |
| 0.0001 | 19.0 | 50616 | 0.0412 | 0 | 1 |
| 0.0001 | 20.0 | 53280 | 0.0393 | 0 | 1 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1