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sentiment_pc_inverseLoss – AI Model by kiatkock | AlphaNeural AI

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kiatkock/
sentiment_pc_inverseLoss

like

0

text-classification

generated_from_trainer

ahmedrachid/FinancialBERT-Sentiment-Analysis

autotrain_compatible

endpoints_compatible

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sentiment_pc_inverseLoss

This model is a fine-tuned version of ahmedrachid/FinancialBERT-Sentiment-Analysis on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4471
Accuracy: 0.8358
F1: 0.8070

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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1