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metadata
license: mit
base_model: DTAI-KULeuven/robbert-2023-dutch-base
tags:
  - generated_from_trainer
model-index:
  - name: robbert-cosmetic-v2-finetuned
    results: []

robbert-cosmetic-v2-finetuned

This model is a fine-tuned version of DTAI-KULeuven/robbert-2023-dutch-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8067

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: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.1115 1.0 1138 0.9439
0.9211 2.0 2276 0.8347
0.8507 3.0 3414 0.8025

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1