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distilbert-emotion – AI Model by Ahm123 | AlphaNeural AI
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Ahm123
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distilbert-emotion
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transformers
pytorch
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-emotion
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset.
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: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
2
1.6915
0.38
0.2093
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cpu
Datasets 3.0.1
Tokenizers 0.20.0
