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Emotion_DistilBert – AI Model by elyadenysova | AlphaNeural AI
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Emotion_DistilBert
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
emotion
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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results
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: 0.1691
Accuracy: 0.929
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
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
0.2358
1.0
1000
0.1881
0.928
0.1301
2.0
2000
0.1721
0.936
0.0806
3.0
3000
0.1738
0.94
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
