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DA-FT-ProsusAI-finbert

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metadata
base_model: NLP-FEUP/DA-ProsusAI-finbert
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: DA-FT-ProsusAI-finbert
    results: []

DA-FT-ProsusAI-finbert

This model is a fine-tuned version of NLP-FEUP/DA-ProsusAI-finbert on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3766
  • 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 0.5243 0.675
No log 2.0 80 0.4332 0.775
No log 3.0 120 0.3766 0.875

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.3.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1