model

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: 1.3753
• Rouge1: 36.5433
• Rouge2: 30.999
• Rougel: 36.5699
• Rougelsum: 36.5459
• 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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• 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	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	469	1.4340	36.6097	31.0677	36.6375	36.6304	19.0
1.5464	2.0	938	1.3869	36.5788	31.0133	36.5888	36.5877	19.0
1.2698	3.0	1407	1.3753	36.5433	30.999	36.5699	36.5459	19.0

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.14.0