Grogros/Grogros-gpt2-kgw-k1-delta2.0-logitDistill-ft-learnability_adv-lora
010
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Grogros-gpt2-kgw-k1-delta2.0-logitDistill-ft-learnability_adv-lora
This model is a fine-tuned version of Grogros/gpt2-kgw-k1-delta2.0-logitDistill on the openwebtext 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: 1e-05
- trainbatchsize: 32
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- training_steps: 2500
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1.post302
- Datasets 3.0.1
- Tokenizers 0.20.1