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distilbert-base-uncased-finetuned-emotion – AI Model by jaswant50 | AlphaNeural AI
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distilbert-base-uncased-finetuned-emotion
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
emotion
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
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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: 0.2144
Accuracy: 0.9335
F1: 0.9336
Model description
label0 = sadness label1 = joy label2 = love label3 = anger label4 = fear label5 = surprise
eg: model("I am extremely mesmerised")
output : [{'label': 'LABEL_5', 'score': 0.857551097869873}]
label5 = surprise
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
0.0275
1.0
250
0.2920
0.9355
0.9359
0.072
2.0
500
0.2144
0.9335
0.9336
Framework versions
Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
