qa_references_all

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.0348
• Rouge1: 0.1188
• Rouge2: 0.0107
• Rougel: 0.0976
• Rougelsum: 0.098
• 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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• 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	357	6.1510	0.0604	0.0063	0.0548	0.0546	18.8222
12.6296	2.0	714	4.1645	0.1128	0.0106	0.0986	0.0984	19.0
5.7722	3.0	1071	4.0653	0.1261	0.0125	0.1054	0.1055	19.0
5.7722	4.0	1428	4.0452	0.1219	0.0109	0.0991	0.0993	19.0
5.3698	5.0	1785	4.0348	0.1188	0.0107	0.0976	0.098	19.0

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3