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xlm-roberta-base-finetuned-marc – AI Model by anshengmay | AlphaNeural AI
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anshengmay
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xlm-roberta-base-finetuned-marc
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transformers
pytorch
tensorboard
xlm-roberta
text-classification
generated_from_trainer
amazon_reviews_multi
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-marc
This model is a fine-tuned version of
xlm-roberta-base
on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
Loss: 0.9904
Mae: 0.4867
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Mae
1.2067
1.0
308
1.0806
0.5575
1.0182
2.0
616
0.9904
0.4867
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
