SwitchOut_Vie_Bana / README.md
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metadata
library_name: transformers
license: mit
base_model: IAmSkyDra/BARTBana_v5
tags:
  - generated_from_trainer
metrics:
  - sacrebleu
model-index:
  - name: SwitchOut_Vie_Bana
    results: []

SwitchOut_Vie_Bana

This model is a fine-tuned version of IAmSkyDra/BARTBana_v5 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5698
  • Sacrebleu: 0.8994

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Sacrebleu
1.161 1.0 3722 1.6825 0.6037
1.0669 2.0 7444 1.5855 0.7984
1.0466 3.0 11166 1.5698 0.8994

Framework versions

  • Transformers 4.57.3
  • Pytorch 2.9.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.1