mt5-small-to-tel-fixing-medium
This model is a fine-tuned version of google/mt5-small on an unknown dataset.
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: 0.001
- 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: 0.05
- num_epochs: 3
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.3.0
- Pytorch 2.9.0+cu126
- Datasets 4.6.1
- Tokenizers 0.22.2
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Model tree for kallacharanteja/mt5-small-to-tel-fixing-hard
Base model
google/mt5-small