formalmathatepfl/apertus-cpt-sft-classic

g-- library_name: transformers license: other base_model: swiss-ai/Apertus-8B-2509 tags: - llama-factory - full - generated_from_trainer model-index: - name: Apertus-no-feedback results: []

Apertus-no-feedback

This model is a fine-tuned version of /mnt/task_runtime/models/Apertus-8B-cpt on the sft dataset. It achieves the following results on the evaluation set:

• Loss: 0.0877

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: 1e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 16
• 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: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.1169	0.2286	1000	0.1173
0.0975	0.4572	2000	0.0961
0.0889	0.6859	3000	0.0898
0.0887	0.9145	4000	0.0878

Framework versions

• Transformers 4.57.6
• Pytorch 2.9.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2