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distilbert-finetuned-emotion – AI Model by sunzhaocai | AlphaNeural AI
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distilbert-finetuned-emotion
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
text-embeddings-inference
endpoints_compatible
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distilbert-finetuned-emotion
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1613
Accuracy: 0.938
F1: 0.9382
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: 16
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: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.2039
1.0
1000
0.1967
0.9265
0.9268
0.1086
2.0
2000
0.1520
0.937
0.9371
0.0751
3.0
3000
0.1613
0.938
0.9382
Framework versions
Transformers 5.8.1
Pytorch 2.7.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
