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distilbert-base-uncased_emotion_ft_lincong_logs_1027 – AI Model by gemlincong | AlphaNeural AI
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gemlincong
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distilbert-base-uncased_emotion_ft_lincong_logs_1027
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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_emotion_ft_lincong_logs_1027
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: 0.1496
Accuracy: 0.9365
F1: 0.9368
Precision: 0.9126
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
0.8245
1.0
250
0.2742
0.912
0.9107
0.8917
0.212
2.0
500
0.1697
0.93
0.9303
0.9043
0.1378
3.0
750
0.1525
0.935
0.9352
0.9133
0.1104
4.0
1000
0.1496
0.9365
0.9368
0.9126
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
