This model is a fine-tuned version of kennethge123/superglue_rte-t5-base on the bigbench dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Accuracy: 1.0

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: 5e-05
train_batch_size: 4
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	Accuracy
No log	1.0	30	0.7892	0.5714
No log	2.0	60	1.0497	0.7143
No log	3.0	90	1.5272	0.7857
No log	4.0	120	0.0498	1.0
No log	5.0	150	0.0000	1.0
No log	6.0	180	0.0000	1.0
No log	7.0	210	0.0000	1.0
No log	8.0	240	0.0000	1.0
No log	9.0	270	0.0000	1.0
No log	10.0	300	0.0000	1.0
No log	11.0	330	0.0000	1.0
No log	12.0	360	0.0000	1.0
No log	13.0	390	0.0000	1.0
No log	14.0	420	0.0000	1.0
No log	15.0	450	0.0000	1.0
No log	16.0	480	0.0000	1.0
0.1757	17.0	510	0.0000	1.0
0.1757	18.0	540	0.0000	1.0
0.1757	19.0	570	0.0000	1.0
0.1757	20.0	600	0.0000	1.0

Framework versions

Transformers 4.37.0
Pytorch 1.13.1+cu117
Datasets 2.15.0
Tokenizers 0.15.2

kennethge123/entailed_after_rte-t5-base

entailed_after_rte-t5-base

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kennethge123/
entailed_after_rte-t5-base