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Apertus-8B-finetuned – AI Model by formalmathatepfl | AlphaNeural AI
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Apertus-8B-finetuned
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transformers
safetensors
apertus
text-generation
llama-factory
full
generated_from_trainer
conversational
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endpoints_compatible
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finetuning_apertus
This model is a fine-tuned version of
models/Apertus_CPT_eval
on the finetuning_data 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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 64
optimizer: Use 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: 0.03
num_epochs: 1.0
Training results
Framework versions
Transformers 4.56.2
Pytorch 2.9.1+cu128
Datasets 3.6.0
Tokenizers 0.22.2
