recipe-gauss-3 – AI Model by paola-md | AlphaNeural AI

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paola-md/
recipe-gauss-3

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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recipe-gauss-3

This model is a fine-tuned version of paola-md/recipe-distilroberta-Is on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2729
Rmse: 0.5224
Mse: 0.2729
Mae: 0.3977

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: 2e-05
train_batch_size: 128
eval_batch_size: 128
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	Rmse	Mse	Mae
0.2602	1.0	745	0.2613	0.5112	0.2613	0.4000
0.2562	2.0	1490	0.2595	0.5094	0.2595	0.3958
0.2542	3.0	2235	0.2595	0.5094	0.2595	0.3932
0.2521	4.0	2980	0.2615	0.5114	0.2615	0.4016
0.2503	5.0	3725	0.2594	0.5093	0.2594	0.3913
0.2473	6.0	4470	0.2641	0.5139	0.2641	0.3834
0.244	7.0	5215	0.2649	0.5147	0.2649	0.3986
0.2401	8.0	5960	0.2661	0.5158	0.2661	0.3906
0.2359	9.0	6705	0.2693	0.5189	0.2693	0.3946
0.2332	10.0	7450	0.2729	0.5224	0.2729	0.3977

Framework versions

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