flan_t5_finetuned_sarcastic

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.5109
• Rouge1: 19.0525
• Rouge2: 6.5322
• Rougel: 17.439
• Rougelsum: 17.4744
• Gen Len: 17.4448

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.6482	1.0	834	4.4165	18.9525	6.7215	17.5456	17.4554	17.1070
1.4688	2.0	1668	4.5109	19.0525	6.5322	17.439	17.4744	17.4448

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0
• Datasets 2.19.1
• Tokenizers 0.19.1