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distilbert-base-uncased-finetuned-emotion – AI Model by Youngdong2 | AlphaNeural AI
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Youngdong2
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distilbert-base-uncased-finetuned-emotion
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pytorch
tensorboard
distilbert
generated_from_trainer
apache-2.0
us
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distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5310
Accuracy: 0.826
F1: 0.7993
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: 192
eval_batch_size: 192
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
84
0.7549
0.758
0.7023
No log
2.0
168
0.5310
0.826
0.7993
Framework versions
Transformers 4.11.3
Pytorch 2.0.0a0+1767026
Datasets 2.21.0
Tokenizers 0.10.3
