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# MicroPhi-Indo

This model was trained from scratch on the MBZUAI/Bactrian-X id dataset.
It achieves the following results on the evaluation set:
- Loss: 5.3697
- Accuracy: 0.2362

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "datasets": ["MBZUAI/Bactrian-X"], "metrics": ["accuracy"], "model-index": [{"name": "MicroPhi-Indo", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "MBZUAI/Bactrian-X id", "type": "MBZUAI/Bactrian-X", "args": "id"}, "metrics": [{"type": "accuracy", "value": 0.23619257086999024, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors phi text-generation generated_from_trainer custom_code dataset:MBZUAI/Bactrian-X model-index autotrain_compatible endpoints_compatible region:us