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al-xml-r-l – AI Model by Ermira | AlphaNeural AI
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Ermira
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al-xml-r-l
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transformers
tensorboard
safetensors
xlm-roberta
question-answering
generated_from_trainer
squad
FacebookAI/xlm-roberta-large
finetune
mit
endpoints_compatible
us
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al-xml-r-l
This model is a fine-tuned version of
xlm-roberta-large
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 0.9690
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: 4
eval_batch_size: 4
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
1.1398
1.0
1000
0.9690
Framework versions
Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
