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bert_emotion – AI Model by lilyray | AlphaNeural AI
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lilyray
/
bert_emotion
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
emotion
google-bert/bert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert_emotion
This model is a fine-tuned version of
google-bert/bert-base-uncased
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.0922
Accuracy: 0.9594
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2371
1.0
2000
0.2012
0.926
0.1461
2.0
4000
0.1714
0.939
0.0978
3.0
6000
0.1956
0.9365
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
