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m2 – AI Model by abigailp | AlphaNeural AI
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abigailp
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m2
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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m2
This model is a fine-tuned version of
j-hartmann/emotion-english-distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5678
Accuracy: 0.7310
F1: 0.7504
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2