checkpoint_dir
This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on the generator 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: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 1
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.43.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for dwivedi-rishabh/checkpoint_dir
Base model
microsoft/Phi-3.5-mini-instruct