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twitter_emotions – AI Model by trnt | AlphaNeural AI
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trnt
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twitter_emotions
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
emotion
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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twitter_emotions
This model is a fine-tuned version of
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.1647
Accuracy: 0.9375
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2486
1.0
2000
0.2115
0.931
0.135
2.0
4000
0.1725
0.936
0.1041
3.0
6000
0.1647
0.9375
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3
