train_2024-11-18_128_256_01
This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on the mydata14 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: 8
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2.0
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for silent666/task-14-microsoft-Phi-3.5-mini-instruct
Base model
microsoft/Phi-3.5-mini-instruct