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distilbert-base-uncased-finetuned-emotion – AI Model by yasutake | AlphaNeural AI
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yasutake
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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
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: 0.3904
Accuracy: 0.885
F1: 0.8788
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: 128
eval_batch_size: 128
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
125
0.6059
0.7925
0.7475
0.7817
2.0
250
0.3904
0.885
0.8788
Framework versions
Transformers 4.24.0
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3
