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DA-FT-mrm8488-distilroberta-finetuned-financial-news-sentiment-analysis – AI Model by NLP-FEUP | AlphaNeural AI
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NLP-FEUP
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DA-FT-mrm8488-distilroberta-finetuned-financial-news-sentiment-analysis
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transformers
safetensors
roberta
text-classification
generated_from_trainer
NLP-FEUP/DA-mrm8488-distilroberta-finetuned-financial-news-sentiment-analysis
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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DA-FT-mrm8488-distilroberta-finetuned-financial-news-sentiment-analysis
This model is a fine-tuned version of
NLP-FEUP/DA-mrm8488-distilroberta-finetuned-financial-news-sentiment-analysis
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2830
Accuracy: 0.875
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
40
0.3221
0.9
No log
2.0
80
0.2830
0.875
No log
3.0
120
0.3018
0.875
Framework versions
Transformers 4.41.0
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1
