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albert_emotion – AI Model by lilyray | AlphaNeural AI
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lilyray
/
albert_emotion
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transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
emotion
lilyray/albert_emotion
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Model card
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albert_emotion
This model is a fine-tuned version of
lilyray/albert_emotion
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.2391
Accuracy: 0.9295
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: 9.363600088100325e-06
train_batch_size: 4
eval_batch_size: 8
seed: 19
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
0.1744
1.0
4000
0.2001
0.938
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
