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roberta-base-finetuned-emotion – AI Model by seollab | AlphaNeural AI
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seollab
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roberta-base-finetuned-emotion
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
emotion
FacebookAI/roberta-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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roberta-base-finetuned-emotion
This model is a fine-tuned version of
roberta-base
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.1975
Accuracy: 0.9225
F1: 0.9231
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
0.7202
1.0
250
0.2841
0.9045
0.9060
0.2369
2.0
500
0.1975
0.9225
0.9231
Framework versions
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
