SBIC-google-t5-v1_1-large-inter_model-sorted-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: 0.3779

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: 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: 200

Training results

Training Loss	Epoch	Step	Validation Loss
7.2075	1.0	392	7.3148
5.9671	2.0	784	6.1609
0.4036	3.0	1176	0.3731
0.4136	4.0	1568	0.3687
0.3907	5.0	1960	0.3661
0.399	6.0	2352	0.3644
0.3838	7.0	2744	0.3664
0.3855	8.0	3136	0.3641
0.3764	9.0	3528	0.3633
0.3785	10.0	3920	0.3631
0.3966	11.0	4312	0.3633
0.3906	12.0	4704	0.3618
0.3935	13.0	5096	0.3613
0.3724	14.0	5488	0.3622
0.3697	15.0	5880	0.3597
0.3878	16.0	6272	0.3606
0.3825	17.0	6664	0.3584
0.3788	18.0	7056	0.3583
0.3863	19.0	7448	0.3593
0.3674	20.0	7840	0.3593
0.3771	21.0	8232	0.3585

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0+cu121
• Datasets 2.14.5
• Tokenizers 0.14.1