mt5-small-to-Tel-easy
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8305
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 54.3199 | 0.4477 | 500 | 7.9791 |
| 26.1361 | 0.8955 | 1000 | 4.5072 |
| 23.0631 | 1.3430 | 1500 | 4.0546 |
| 21.8258 | 1.7907 | 2000 | 3.9123 |
| 21.3130 | 2.2382 | 2500 | 3.8532 |
| 21.0509 | 2.6859 | 3000 | 3.8305 |
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
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Base model
google/mt5-small