model_base_5120

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 5.0825
• Accuracy: 0.2308

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: 4e-05
• train_batch_size: 96
• eval_batch_size: 96
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 768
• total_eval_batch_size: 768
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10000
• training_steps: 100000

Training results

Framework versions

• Transformers 4.35.2
• Pytorch 2.8.0+cu128
• Datasets 4.4.1
• Tokenizers 0.15.2