Testing-t5

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

• Loss: 0.3656

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	282	0.4660
0.5546	2.0	564	0.4258
0.5546	3.0	846	0.4089
0.4368	4.0	1128	0.3977
0.4368	5.0	1410	0.3911
0.4116	6.0	1692	0.3860
0.4116	7.0	1974	0.3812
0.3957	8.0	2256	0.3783
0.3872	9.0	2538	0.3754
0.3872	10.0	2820	0.3736
0.3806	11.0	3102	0.3717
0.3806	12.0	3384	0.3707
0.3737	13.0	3666	0.3691
0.3737	14.0	3948	0.3682
0.3693	15.0	4230	0.3675
0.367	16.0	4512	0.3667
0.367	17.0	4794	0.3662
0.3655	18.0	5076	0.3659
0.3655	19.0	5358	0.3657
0.3605	20.0	5640	0.3656

Framework versions

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