mt5-small-finetuned-easy
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: 134.6687
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: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7713.7494 | 0.4080 | 500 | 1422.8065 |
| 3212.7847 | 0.8160 | 1000 | 534.9083 |
| 1562.9995 | 1.2236 | 1500 | 245.6855 |
| 1141.0379 | 1.6316 | 2000 | 171.7863 |
| 961.2817 | 2.0392 | 2500 | 148.8024 |
| 877.5551 | 2.4472 | 3000 | 137.8753 |
| 851.0401 | 2.8552 | 3500 | 134.6687 |
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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google/mt5-small