open-sci-1.7B-nemotron-cc-1T_oh-dcft
This model is a fine-tuned version of open-sci/open-sci-1.7b-nemotron-cc-1T on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini 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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 512
- total_eval_batch_size: 256
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.0a0+b465a5843b.nv24.09
- Datasets 3.0.2
- Tokenizers 0.21.1
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