jerseyjerry/task-7-microsoft-Phi-3-medium-4k-instruct
03
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
lora
This model is a fine-tuned version of microsoft/Phi-3-medium-4k-instruct on the flocktask7train 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: 0.0003
- trainbatchsize: 4
- evalbatchsize: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 128
- totalevalbatch_size: 8
- optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.05
- num_epochs: 2
Training results
Framework versions
- PEFT 0.15.0
- Transformers 4.51.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.0