ghc-google-t5-v1_1-large-intra_model-shuffle-human_annots_str

This model is a fine-tuned version of google/t5-v1_1-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: nan

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss
3.0844	1.0	689	3.0600
0.1027	2.0	1378	0.0872
0.1404	3.0	2067	0.0758
0.0846	4.0	2756	0.0725
0.079	5.0	3445	0.0707
0.0774	6.0	4134	0.0723
0.079	7.0	4823	0.0694
0.0677	8.0	5512	0.0709
0.0697	9.0	6201	0.0676
0.0715	10.0	6890	0.0711
0.0676	11.0	7579	0.0667
0.0776	12.0	8268	0.0659
0.0692	13.0	8957	0.0655
0.0621	14.0	9646	0.0659
0.0571	15.0	10335	0.0658
0.0724	16.0	11024	0.0658

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0+cu121
• Datasets 2.6.1
• Tokenizers 0.14.1