billwang37/fluid-weather-qwen-72b
010
<!-- 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. -->
runfluid001
This model is a fine-tuned version of /scratch/billwang37/mathbio/models/Qwen--Qwen2.5-Math-72B-Instruct on the fluid_train dataset. It achieves the following results on the evaluation set:
- Loss: 0.0005
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: 0.0002
- trainbatchsize: 1
- evalbatchsize: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradientaccumulationsteps: 16
- totaltrainbatch_size: 64
- totalevalbatch_size: 4
- optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.05
- num_epochs: 3
Training results
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.3.0+cu121
- Datasets 4.0.0
- Tokenizers 0.22.2
