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xlm-roberta-base-finetuned-marc-en – AI Model by danwilbury | AlphaNeural AI
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danwilbury
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xlm-roberta-base-finetuned-marc-en
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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-en
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: 0.9302
Mae: 0.5
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
1.1253
1.0
235
0.9756
0.5488
0.9465
2.0
470
0.9302
0.5
Framework versions
Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.14.0
Tokenizers 0.10.3
