mt5-version4-Telugu-hard
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: 2.5077
- Bleu: 1.76
- Chrf: 13.15
- Num Input Tokens Seen: 18410496
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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 8
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.3.0
- Pytorch 2.9.0+cu126
- Datasets 4.8.4
- Tokenizers 0.22.2
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Base model
google/mt5-small