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distilbert-base-uncased-finetuned-emotion – AI Model by denizspynk | AlphaNeural AI
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denizspynk
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distilbert-base-uncased-finetuned-emotion
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
emotion
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: 0.1561
Accuracy: 0.9385
F1: 0.9388
Label description
Label_0: sadness
Label_1: joy
Label_2: love
Label_3: anger
Label_4: fear
Label_5: surprise
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
This model is finetuned on the emotion dataset.
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
0.1762
1.0
250
0.1719
0.929
0.9287
0.1157
2.0
500
0.1561
0.9385
0.9388
Framework versions
Transformers 4.24.0
Pytorch 2.0.0.dev20230215
Datasets 2.9.0
Tokenizers 0.11.0
