ppt-pythia-160m-nope-domains-nca500-warmup500-seed324-stage1

This model is a fine-tuned version of EleutherAI/pythia-160m 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: 0.001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 324
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine_with_min_lr
• lr_scheduler_warmup_steps: 0.05
• training_steps: 500

Training results

Framework versions

• Transformers 5.4.0
• Pytorch 2.8.0+cu128
• Datasets 3.2.0
• Tokenizers 0.22.1