mt5-large-ie-budquo-5k

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

• Loss: 0.0504
• Rouge1: 0.1024
• Rouge2: 0.0848
• Rougel: 0.1021
• Rougelsum: 0.1023

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: 0.0003
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• 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
0.1081	0.9997	1921	0.0537	0.0995	0.0819	0.0994	0.0993
0.0291	2.0	3843	0.0177	0.1030	0.0866	0.1030	0.1029
0.0157	2.9997	5764	0.0101	0.1041	0.0878	0.1040	0.1037
0.0092	4.0	7686	0.0071	0.1039	0.0881	0.1040	0.1038
0.0061	4.9987	9605	0.0067	0.1045	0.0884	0.1043	0.1041

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1