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bert-emotion – AI Model by hirenvadalia | AlphaNeural AI
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hirenvadalia
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bert-emotion
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-emotion
This model is a fine-tuned version of
distilbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0968
Precision: 0.7318
Recall: 0.7244
Fscore: 0.7260
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: 4
eval_batch_size: 4
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
Precision
Recall
Fscore
0.8764
1.0
815
0.7180
0.7398
0.6814
0.6949
0.5429
2.0
1630
0.9484
0.7405
0.6849
0.7021
0.2913
3.0
2445
1.0968
0.7318
0.7244
0.7260
Framework versions
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
