This model is a fine-tuned version of openai/gpt-oss-20b on the all_dupcleaned_data_turn_gpt_oss_20b_pretokenized, the new_irrelevance_zh_tw_oss3000_oss_gpt_oss_20b_pretokenized and the apigen_zhtwV3_remove_sys_gpt_oss_20b_pretokenized datasets.
It achieves the following results on the evaluation set:
Loss: 0.9870
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-07
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 128
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
