Sumarize Model Pegasus V2 Finetuned Spanish

🚀 sumarize_model_pegasus_v2_original

This is a fine - tuned model based on google/pegasus-xsum, specialized in summarizing complex Spanish financial texts.

🚀 Quick Start

This model is a fine - tuned version of google/pegasus-xsum on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0660
• Rouge1: 0.6881
• Rouge2: 0.5187
• Rougel: 0.6489
• Rougelsum: 0.6488
• Gen Len: 44.9812

✨ Features

Model description

This model has been trained with a large dataset with data in Spanish to summarize financial texts that are difficult to understand. For more information refer to the following paper https://arxiv.org/abs/2312.09897

Intended uses & limitations

This model is used to summarize financial text in Spanish.

📚 Documentation

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3.419313942464226e - 05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e - 08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2

📄 License

No license information provided.