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Bert-english-emotion-analysis – AI Model by mariogiordano | AlphaNeural AI
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Bert-english-emotion-analysis
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Bert-english-emotion-analysis
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8375
Accuracy: 0.7090
F1: 0.7060
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
1.3759
1.0
658
0.8827
0.6815
0.6851
0.8038
2.0
1316
0.8375
0.7090
0.7060
Framework versions
Transformers 4.28.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.13.3
