rayonlabs/L3-Umbral-Mind-RP-v3_0-8B-rpr-46858361-6e01-40b3-b817-5a109b87640c
06
<!-- 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. -->
39f6d584-2003-4329-b592-0d268ab62c0b
This model is a fine-tuned version of Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0668
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: 0.000217
- trainbatchsize: 4
- evalbatchsize: 4
- seed: 170
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 8
- optimizer: Use OptimizerNames.ADAMWBNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_steps: 50
- training_steps: 500
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
