gpt-oss-sft-full-20b-verify-ip-ep3
This model is a fine-tuned version of openai/gpt-oss-20b on the verify_ip_sft 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
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 3
Training results
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.1
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Model tree for straker/gpt-oss-sft-full-20b-verify-ip-e3
Base model
openai/gpt-oss-20b