bamalingua-google-madlat400
This model is a fine-tuned version of google/madlad400-3b-mt 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 30
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.20.1
- Downloads last month
- 95
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Gaoussin/bamalingua-google-madlat400
Base model
google/madlad400-3b-mt