Grogros/dmWM-LLama-3-1B-Harm-ft-HA-AlpacaGPT4-HeA-OpenWebText-d4-a0.25
029
<!-- 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. -->
dmWM-LLama-3-1B-Harm-ft-HA-AlpacaGPT4-HeA-OpenWebText-d4-a0.25
This model is a fine-tuned version of huihui-ai/Llama-3.2-1B-Instruct-abliterated on the None 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: 2e-05
- trainbatchsize: 4
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- training_steps: 2500
Training results
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1.post303
- Datasets 3.2.0
- Tokenizers 0.20.4