slac-new-aroma-none

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slac-new-aroma-none

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

• Loss: 0.1765
• Accuracy: 0.9567
• F1 Macro: 0.9036
• Precision Macro: 0.9010
• Recall Macro: 0.9062
• F1 Micro: 0.9567
• Precision Micro: 0.9567
• Recall Micro: 0.9567
• Total Tf: [1480, 67, 1480, 67]

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• 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: linear
• lr_scheduler_warmup_steps: 188
• num_epochs: 5

Training results

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.2