flan-t5-small-samp

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: 1.2590
• Rouge1: 43.9209
• Rouge2: 34.9601
• Rougel: 42.6215
• Rougelsum: 42.2386
• Gen Len: 19.0

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	22	2.1815	36.7312	15.9425	31.417	34.2234	19.0
No log	2.0	44	1.6264	43.7638	34.817	42.7197	42.2012	19.0
No log	3.0	66	1.3892	43.7638	34.817	42.7197	42.2012	19.0
No log	4.0	88	1.2825	43.7624	34.875	42.5386	42.1659	19.0
No log	5.0	110	1.2590	43.9209	34.9601	42.6215	42.2386	19.0

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0