finetuned-new

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

• Loss: 1.6670
• Rouge1: 23.8339
• Rouge2: 9.629
• Rougel: 20.6248
• Rougelsum: 21.936
• Gen Len: 18.9886

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	50	1.8104	24.234	13.0619	21.6635	22.7407	17.8295
No log	2.0	100	1.7152	23.8385	10.4031	20.7556	21.8852	18.9545
No log	3.0	150	1.6795	23.6911	9.6556	20.5848	21.8707	18.9886
No log	4.0	200	1.6670	23.8339	9.629	20.6248	21.936	18.9886

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1
• Datasets 2.14.3
• Tokenizers 0.13.3