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bertweet-base-finetuned-emotion – AI Model by bhadresh-savani | AlphaNeural AI
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bertweet-base-finetuned-emotion
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
emotion
model-index
autotrain_compatible
endpoints_compatible
us
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bertweet-base-finetuned-emotion
This model is a fine-tuned version of
vinai/bertweet-base
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.1737
Accuracy: 0.929
F1: 0.9296
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.9469
1.0
250
0.3643
0.895
0.8921
0.2807
2.0
500
0.2173
0.9245
0.9252
0.1749
3.0
750
0.1859
0.926
0.9266
0.1355
4.0
1000
0.1737
0.929
0.9296
Framework versions
Transformers 4.13.0
Pytorch 1.11.0+cu113
Datasets 1.16.1
Tokenizers 0.10.3
