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distilbert-base-uncased-fine-tuned-on-emotion-dataset – AI Model by itzo | AlphaNeural AI
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itzo
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distilbert-base-uncased-fine-tuned-on-emotion-dataset
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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-fine-tuned-on-emotion-dataset
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: 0.2138
Accuracy Score: 0.9275
F1 Score: 0.9275
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 Score
F1 Score
0.8024
1.0
250
0.3089
0.906
0.9021
0.2448
2.0
500
0.2138
0.9275
0.9275
Framework versions
Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1
