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emotion-model – AI Model by BiaDd | AlphaNeural AI
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BiaDd
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emotion-model
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
emotion
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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emotion-model
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: 0.2131
Accuracy: 0.9335
F1: 0.9336
Model description
Predicts the emotions of provided text
image/png
Intended uses & limitations
For sentiment analysis
Training and evaluation data
Data from "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
No log
1.0
250
0.3058
0.9125
0.9098
0.5417
2.0
500
0.2131
0.9335
0.9336
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
