metadata

library_name: transformers
license: mit
base_model: facebook/mbart-large-50
tags:
  - simplification
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: mbart-The_Jungle_Book
    results: []

mbart-The_Jungle_Book

This model is a fine-tuned version of facebook/mbart-large-50 on the dataset The_Jungle_Book_dataset. It achieves the following results on the evaluation set:

Loss: 4.6366
Bleu: 2.9447
Gen Len: 25.1

Model description

This model intends to translate sentences from English to Spanish.

Intended uses & limitations

This model has been created as an in-class exercice, so the coverage of it can be very limited.

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	5	4.7580	2.2271	27.7
No log	2.0	10	4.6366	2.9447	25.1

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1