mt5-large-ie-budquo-finetuned

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: 0.0322
• Rouge1: 0.0564
• Rouge2: 0.0299
• Rougel: 0.0562
• Rougelsum: 0.0564

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
0.1063	0.9998	1156	0.0669	0.1300	0.0852	0.1264	0.1299
0.0516	1.9996	2312	0.0366	0.0609	0.0328	0.0608	0.0608
0.0338	2.9994	3468	0.0265	0.1055	0.0668	0.1039	0.1057
0.0253	4.0	4625	0.0223	0.1245	0.0741	0.1227	0.1246
0.021	4.9989	5780	0.0206	0.1297	0.0834	0.1268	0.1298

Framework versions

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