mt5-gigatrue-embmodtest

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 7.3662

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
9.2307	0.1015	3000	7.5733
8.3153	0.2030	6000	7.4610
8.245	0.3044	9000	7.4058
8.2157	0.4059	12000	7.3872
8.2014	0.5074	15000	7.3764
8.1962	0.6089	18000	7.3736
8.1911	0.7104	21000	7.3708
8.1927	0.8119	24000	7.3668
8.1863	0.9133	27000	7.3662

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.1
• Datasets 3.2.0
• Tokenizers 0.20.3