OLMo-2-0425-1B-Instruct-distillation-SecretSauce-3.0-AlpacaRefuseSmooth-sauce2lrLong
This model is a fine-tuned version of allenai/OLMo-2-0425-1B-Instruct 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: 5e-06
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Use adafactor and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 4000
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.2.0a0+81ea7a4
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for Grogros/OLMo-2-0425-1B-Instruct-distillation-SecretSauce-3.0-AlpacaRefuseSmooth-sauce2lrLong
Base model
allenai/OLMo-2-0425-1B
Finetuned
allenai/OLMo-2-0425-1B-SFT
Finetuned
allenai/OLMo-2-0425-1B-DPO
Finetuned
allenai/OLMo-2-0425-1B-RLVR1
Finetuned
allenai/OLMo-2-0425-1B-Instruct