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bert-base-uncased-finetuned-GoEmotions – AI Model by virtual12345 | AlphaNeural AI
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virtual12345
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bert-base-uncased-finetuned-GoEmotions
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transformers
safetensors
bert
text-classification
generated_from_trainer
virtual12345/bert-base-uncased-finetuned-GoEmotions
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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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
