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recipe-t256-lr2e05-wd0.02-bs32 – AI Model by paola-md | AlphaNeural AI
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paola-md
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recipe-t256-lr2e05-wd0.02-bs32
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transformers
pytorch
roberta
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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recipe-t256-lr2e05-wd0.02-bs32
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: 0.2808
Rmse: 0.5299
Mse: 0.2808
Mae: 0.4354
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: 256
eval_batch_size: 256
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
0.277
1.0
623
0.2741
0.5236
0.2741
0.4169
0.2739
2.0
1246
0.2740
0.5235
0.2740
0.4173
0.2726
3.0
1869
0.2808
0.5299
0.2808
0.4354
Framework versions
Transformers 4.19.0.dev0
Pytorch 1.9.0+cu111
Datasets 2.4.0
Tokenizers 0.12.1
