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emotion-english-distilroberta-base – AI Model by HarshV9 | AlphaNeural AI
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HarshV9
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emotion-english-distilroberta-base
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transformers
pytorch
tf
tensorboard
roberta
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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emotion-english-distilroberta-base
This model is a fine-tuned version of
HarshV9/emotion-english-distilroberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6962
Accuracy: 0.3994
F1: 0.3950
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: 5
Training results
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
