lldois/v102_v74_pcgrad_normalized_task_delta
0
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v74public091rsloraloraplusr128a16lr1e5x16ep3
This model is a fine-tuned version of OpenOneRec/OneReason-0.8B-pretrain-competition on the expv49public091exact 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: 1
- evalbatchsize: 8
- seed: 202607208
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 4
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_steps: 0.03
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.6.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2