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bert-base-uncased-finetuned-emotion – AI Model by sidhtang | AlphaNeural AI
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sidhtang
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bert-base-uncased-finetuned-emotion
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tensorboard
safetensors
bert
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
us
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bert-base-uncased-finetuned-emotion
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: 0.1810
Accuracy: 0.926
F1: 0.9261
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: 64
eval_batch_size: 64
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
0.7621
1.0
250
0.2521
0.913
0.9139
0.1979
2.0
500
0.1810
0.926
0.9261
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
