Edit model card

mbart-non-mysoginistic-reformulation

This model is a fine-tuned version of facebook/mbart-large-50 on the following dataset: glombardo/misogynistic-statements-and-their-potential-restructuring . It achieves the following results on the evaluation set:

  • Loss: 3.5140
  • Bleu: 10.6012
  • Gen Len: 21.5854

Model description

Used and trained as part of the Master's Degree in NLP of Universidad de la Rioja 2023-2024

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
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 16 3.7443 7.8006 18.3171
No log 2.0 32 3.5140 10.6012 21.5854

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2
Downloads last month
0
Safetensors
Model size
611M params
Tensor type
F32
·
Inference API
This model can be loaded on Inference API (serverless).

Finetuned from

Dataset used to train Tinaenhugging/mbart-non-mysoginistic-reformulation