_saves_phi-2_full
This model is a fine-tuned version of phi-2 on the kqa_parsed-tree_train_complex.json 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: 7e-06
- train_batch_size: 4
- eval_batch_size: 8
- 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_ratio: 0.1
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 1.11.0+cu113
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for vivecccccc/phi-2_kqa-program
Base model
microsoft/phi-2