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distilbert-base-uncased_emotion_ft_0523 – AI Model by darrel999 | AlphaNeural AI
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darrel999
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distilbert-base-uncased_emotion_ft_0523
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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_emotion_ft_0523
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: 0.2694
Accuracy: 0.917
F1: 0.9168
Precision: 0.8882
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: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
No log
1.0
63
0.9564
0.641
0.5522
0.5005
No log
2.0
126
0.4544
0.8635
0.8507
0.8714
No log
3.0
189
0.2987
0.91
0.9093
0.8805
0.67
4.0
252
0.2694
0.917
0.9168
0.8882
Framework versions
Transformers 4.29.1
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3
