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roberta_fine_tuned_sentiment_financial_news – AI Model by RogerKam | AlphaNeural AI
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RogerKam
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roberta_fine_tuned_sentiment_financial_news
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta_fine_tuned_sentiment_financial_news
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6362
Accuracy: 0.8826
F1 Score: 0.8865
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: 8
eval_batch_size: 8
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 4.19.2
Pytorch 1.10.0+cu111
Datasets 2.2.2
Tokenizers 0.12.1
