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distilbert-base-uncased-finetuned-emotion – AI Model by nuwrong | AlphaNeural AI
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nuwrong
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distilbert-base-uncased-finetuned-emotion
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
emotion
nuwrong/distilbert-base-uncased-finetuned-emotion
finetune
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of
nuwrong/distilbert-base-uncased-finetuned-emotion
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.3723
Accuracy: 0.8975
F1: 0.8919
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
0.6100
0.7925
0.7532
0.8121
2.0
250
0.3723
0.8975
0.8919
Framework versions
Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.14.6
Tokenizers 0.14.1
