Modelpublic

thrunlab/t5-base_cola_moe_ex38_epochs-3_decoder_all_sparsity20_mare_mlp

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face

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Model Card

t5-basecolamoeex38epochs-3decoderallsparsity20mare_mlp

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

—Loss: 0.6107
—Accuracy: 0.8351

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
—trainbatchsize: 16
—evalbatchsize: 32
—seed: 1
—gradientaccumulationsteps: 2
—totaltrainbatch_size: 32
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—lrschedulerwarmup_steps: 20
—num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.54	0.19	50	0.9351	0.8178
0.508	0.37	100	0.7150	0.8332
0.5206	0.56	150	0.6512	0.8265
0.4831	0.75	200	0.6504	0.8274
0.5094	0.93	250	0.5474	0.8313
0.3632	1.12	300	0.6911	0.8226
0.3467	1.31	350	0.6089	0.8303
0.3803	1.5	400	0.5704	0.8360
0.3281	1.68	450	0.6079	0.8313
0.3239	1.87	500	0.5792	0.8284
0.2903	2.06	550	0.5910	0.8293
0.3892	2.24	600	0.6007	0.8341
0.2846	2.43	650	0.5993	0.8351
0.3209	2.62	700	0.6508	0.8360
0.2325	2.8	750	0.6217	0.8341
0.3949	2.99	800	0.6201	0.8341

Framework versions

—Transformers 4.34.1
—Pytorch 2.0.1+cu117
—Datasets 2.9.0
—Tokenizers 0.14.1