Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-GoEmotions – AI Model by virtual12345 | AlphaNeural AI
You can deploy this model and start earning money today!
virtual12345
/
distilbert-base-uncased-finetuned-GoEmotions
like
0
transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
virtual12345/distilbert-base-uncased-finetuned-GoEmotions
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-finetuned-GoEmotions
This model is a fine-tuned version of
virtual12345/distilbert-base-uncased-finetuned-GoEmotions
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.6271
eval_model_preparation_time: 0.0016
eval_accuracy: 0.5517
eval_f1_macro: 0.4554
eval_f1_weighted: 0.5485
eval_recall_macro: 0.4571
eval_precision_macro: 0.4736
eval_recall_weighted: 0.5517
eval_precision_weighted: 0.5627
eval_runtime: 1.3553
eval_samples_per_second: 442.697
eval_steps_per_second: 2.213
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: 256
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
