ghc-google-t5-v1_1-large-intra_model-shuffle-model_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
5.6873	1.0	689	5.5679
0.6403	2.0	1378	0.6014
0.6057	3.0	2067	0.5936
0.6424	4.0	2756	0.5902
0.6206	5.0	3445	0.5957
0.6048	6.0	4134	0.5895
0.5854	7.0	4823	0.5859
0.5866	8.0	5512	0.5865
0.5801	9.0	6201	0.5898
0.5884	10.0	6890	0.5826
0.6025	11.0	7579	0.5815
0.5977	12.0	8268	0.5800
0.5644	13.0	8957	0.5804
0.6126	14.0	9646	0.5801
0.6011	15.0	10335	0.5794
0.5989	16.0	11024	0.5794
0.5946	17.0	11713	0.5794
0.6034	18.0	12402	0.5794

Framework versions

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