mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams-with-nonfactual-contextonly

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: 2.0871
• Rouge1: 0.1409
• Rouge2: 0.0288
• Rougel: 0.1159
• Rougelsum: 0.1158
• Gen Len: 18.8206

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: 2
• eval_batch_size: 2
• 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
2.7223	1.0	7356	2.1686	0.139	0.0274	0.1148	0.1147	18.6219
2.6314	2.0	14712	2.1008	0.1416	0.0293	0.1167	0.1166	18.8697
2.5676	3.0	22068	2.0871	0.1409	0.0288	0.1159	0.1158	18.8206

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3