flan-t5-base-news_summary

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: 1.3100

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.7911	1.0	550	1.3889
1.7296	2.0	1100	1.3305
1.4633	3.0	1650	1.3100

Framework versions

• Transformers 4.41.0
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.19.1