Mbart Large 50 Finetuned Stocks Event All

🚀 mbart-large-50-finetuned-stocks-event-all

This model is a fine - tuned version of facebook/mbart-large-50, designed for summarization tasks.

🚀 Quick Start

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

• Loss: 0.5518
• Rouge1: 0.5383
• Rouge2: 0.4868
• Rougel: 0.5387
• Rougelsum: 0.5362

✨ Features

This fine - tuned model is tailored for summarization tasks, leveraging the power of the pre - trained mbart - large - 50 model. It provides reliable evaluation metrics such as Rouge scores, indicating its effectiveness in text summarization.

📚 Documentation

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
• num_epochs: 8

Training results

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2

📄 License

This model is released under the MIT license.