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distilbert-base-uncased-finetuned-emotion – AI Model by cdinh2022 | AlphaNeural AI
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cdinh2022
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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
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.
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: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
0.1
25
1.4889
0.5195
0.3976
Framework versions
Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3
