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distilbert-base-uncased-finetuned-emotion – AI Model by omar22allam | AlphaNeural AI
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omar22allam
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distilbert-base-uncased-finetuned-emotion
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
emotion
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of
distilbert-base-uncased
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.2167
Accuracy: 0.9245
F1: 0.9244
Prediction Labels mapping:
sadness (label_0)
joy (label_1)
love (label_2)
anger (label_3)
fear (label_4)
surprise (label_5)
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.8156
1.0
250
0.3209
0.9055
0.9041
0.2541
2.0
500
0.2167
0.9245
0.9244
Framework versions
Transformers 4.37.2
Pytorch 1.13.0
Datasets 2.19.0
Tokenizers 0.15.1
