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metadata
license: mit
base_model: october-sd/mbart-large-50-finetuned-mr-sum
tags:
  - summarization
  - generated_from_trainer
model-index:
  - name: mbart-large-50-finetuned-mr-sum-finetuned-hindi
    results: []

mbart-large-50-finetuned-mr-sum-finetuned-hindi

This model is a fine-tuned version of october-sd/mbart-large-50-finetuned-mr-sum on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9019

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: 5.6e-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
  • lr_scheduler_warmup_steps: 300
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
2.281 1.0 3905 1.9741
1.6731 2.0 7810 1.9019

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2