flan-t5-base-updated_data

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: 2.1855
• Rouge1: 30.1504
• Rouge2: 15.0601
• Rougel: 25.9757
• Rougelsum: 26.4304
• Gen Len: 18.18

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	112	2.4245	30.8943	14.0099	26.1186	26.6014	18.0467
No log	2.0	224	2.3033	31.2618	14.9632	26.6116	27.0315	18.0933
No log	3.0	336	2.2369	29.9047	14.7151	25.5824	26.0168	17.9667
No log	4.0	448	2.1954	30.2469	15.1358	26.1566	26.5722	18.18
2.45	5.0	560	2.1855	30.1504	15.0601	25.9757	26.4304	18.18

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0