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paola-md/recipe-gauss-2

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face

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recipe-gauss-2

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

—Loss: 0.4204
—Rmse: 0.6484
—Mse: 0.4204
—Mae: 0.4557

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: 32
—evalbatchsize: 32
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse	Mse	Mae
0.4002	1.0	3029	0.4228	0.6502	0.4228	0.4485
0.3986	2.0	6058	0.4200	0.6481	0.4200	0.4566
0.3985	3.0	9087	0.4217	0.6494	0.4217	0.4515
0.3977	4.0	12116	0.4212	0.6490	0.4212	0.4528
0.397	5.0	15145	0.4251	0.6520	0.4251	0.4461
0.397	6.0	18174	0.4203	0.6483	0.4203	0.4665
0.3968	7.0	21203	0.4211	0.6489	0.4211	0.4533
0.3964	8.0	24232	0.4208	0.6487	0.4208	0.4543
0.3963	9.0	27261	0.4199	0.6480	0.4199	0.4604
0.3961	10.0	30290	0.4204	0.6484	0.4204	0.4557

Framework versions

—Transformers 4.19.0.dev0
—Pytorch 1.9.0+cu111
—Datasets 2.4.0
—Tokenizers 0.12.1