README.md

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