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xlm-roberta-base-finetuned-squad-top20-mml – AI Model by darshana1406 | AlphaNeural AI
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darshana1406
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xlm-roberta-base-finetuned-squad-top20-mml
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transformers
pytorch
tensorboard
xlm-roberta
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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xlm-roberta-base-finetuned-squad-top20-mml
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5907
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
8.6268
1.0
5600
0.5907
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2
