internetoftim/gpt-oss-20b-balitanlp-cpt

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

gpt-oss-20b-balitanlp-cpt

This model is a fine-tuned version of openai/gpt-oss-20b on an unknown 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: 3e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 10
• —training_steps: 100

Training results

Framework versions

• —Transformers 4.57.6
• —Pytorch 2.9.0a0+145a3a7bda.nv25.10
• —Datasets 4.5.0
• —Tokenizers 0.22.2