rlcc-new-palate-upsample_replacement-absa-None-score_prediction

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rlcc-new-palate-upsample_replacement-absa-None-score_prediction

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

• Loss: 1.0105
• Accuracy: 0.5
• F1 Macro: 0.4862
• Precision Macro: 0.4841
• Recall Macro: 0.5034
• F1 Micro: 0.5
• Precision Micro: 0.5
• Recall Micro: 0.5
• Total Tf: [89, 89, 267, 89]

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: 21
• num_epochs: 5

Training results

Framework versions

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