Kamyar-zeinalipour/PMCQ-Gemma2-9b
09
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gemma29bLORAPersianMCQ1632_v1
This model is a fine-tuned version of google/gemma-2-9b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8247
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
- trainbatchsize: 4
- evalbatchsize: 4
- seed: 100
- distributed_type: multi-GPU
- num_devices: 2
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 32
- totalevalbatch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: cosine
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.44.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1