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distilbert-base-uncased-finetuned-emotion – AI Model by nour-sam | AlphaNeural AI
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nour-sam
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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: 0.1700
Accuracy: 0.9295
F1: 0.9297
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.7921
1.0
250
0.2777
0.9165
0.9151
0.2166
2.0
500
0.1868
0.9285
0.9286
0.149
3.0
750
0.1700
0.9295
0.9297
Framework versions
Transformers 4.16.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
