bert-base-uncased-finetuned-GoEmotions

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bert-base-uncased-finetuned-GoEmotions

This model is a fine-tuned version of virtual12345/bert-base-uncased-finetuned-GoEmotions on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.5048
• eval_model_preparation_time: 0.0029
• eval_accuracy: 0.5917
• eval_f1_macro: 0.4908
• eval_f1_weighted: 0.5849
• eval_recall_macro: 0.4996
• eval_precision_macro: 0.5120
• eval_recall_weighted: 0.5917
• eval_precision_weighted: 0.6075
• eval_runtime: 0.717
• eval_samples_per_second: 836.855
• eval_steps_per_second: 6.974
• step: 0

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 128
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1