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fine_tuned_finroberta – AI Model by kekunh | AlphaNeural AI
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kekunh
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fine_tuned_finroberta
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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fine_tuned_finroberta
This model is a fine-tuned version of
mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1689
Accuracy: 0.8652
F1: 0.8653
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: 3.188322691446458e-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: 10
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
