flan-t5-base-SamsumTraduzido

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

• Loss: 1.3884
• Rouge1: 30.5305
• Rouge2: 10.258
• Rougel: 25.7824
• Rougelsum: 25.8089
• Gen Len: 18.7482

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: 5e-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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.6038	1.0	1509	1.3884	30.5305	10.258	25.7824	25.8089	18.7482

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.1+cpu
• Datasets 2.14.5
• Tokenizers 0.13.3