mT5-tfidf-10pass-all-questions-QA-23-06-2023-summary

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: 1.9854
• Rouge1: 0.1313
• Rouge2: 0.0198
• Rougel: 0.1109
• Rougelsum: 0.1108
• Gen Len: 18.9487

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.7253	1.0	5187	2.1284	0.1278	0.0228	0.1044	0.1044	18.4121
2.5259	2.0	10374	2.0547	0.136	0.0265	0.1126	0.1126	18.7747
2.4501	3.0	15561	2.0201	0.1298	0.0203	0.1089	0.1086	18.8425
2.4254	4.0	20748	1.9996	0.1299	0.0198	0.1103	0.1102	18.9249
2.2699	5.0	25935	1.9892	0.132	0.0209	0.1118	0.1118	18.8883
2.3605	6.0	31122	1.9854	0.1313	0.0198	0.1109	0.1108	18.9487

Framework versions

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