t5-small_winobias_finetuned_HBRPOI – AI Model by henryscheible | AlphaNeural AI

You can deploy this model and start earning money today!

henryscheible/
t5-small_winobias_finetuned_HBRPOI

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

t5-small_winobias_finetuned_HBRPOI

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

Loss: 0.3333
Accuracy: 0.5
Tp: 0.5
Tn: 0.0
Fp: 0.5
Fn: 0.0

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: 0.0005
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Tp	Tn	Fp	Fn
0.437	0.8	20	0.3545	0.5	0.5	0.0	0.5	0.0
0.3996	1.6	40	0.3565	0.5025	0.5	0.0025	0.4975	0.0
0.3844	2.4	60	0.3498	0.5	0.5	0.0	0.5	0.0
0.3728	3.2	80	0.3529	0.5013	0.5	0.0013	0.4987	0.0
0.3732	4.0	100	0.3482	0.5006	0.5	0.0006	0.4994	0.0
0.3798	4.8	120	0.3484	0.5	0.5	0.0	0.5	0.0
0.3607	5.6	140	0.3475	0.5006	0.5	0.0006	0.4994	0.0
0.3688	6.4	160	0.3456	0.5	0.5	0.0	0.5	0.0
0.3597	7.2	180	0.3445	0.5006	0.5	0.0006	0.4994	0.0
0.3658	8.0	200	0.3402	0.5	0.5	0.0	0.5	0.0
0.3629	8.8	220	0.3362	0.5	0.5	0.0	0.5	0.0
0.3393	9.6	240	0.3333	0.5	0.5	0.0	0.5	0.0

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.13.2