modelo_resumen2/README.md

metadata

license: apache-2.0
base_model: t5-small
tags:
  - simplification
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: modelo_resumen2
    results: []

modelo_resumen2

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.7513
• Bleu: 1.0427
• Gen Len: 18.97

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	125	2.8180	1.0995	18.944
No log	2.0	250	2.7862	1.0796	18.943
No log	3.0	375	2.7619	1.033	18.953
2.9818	4.0	500	2.7579	1.0515	18.961
2.9818	5.0	625	2.7513	1.0427	18.97

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1