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xlm-roberta-large – AI Model by makhataei | AlphaNeural AI
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makhataei
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xlm-roberta-large
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transformers
tensorboard
safetensors
xlm-roberta
question-answering
generated_from_trainer
makhataei/xlm-roberta-large
finetune
mit
endpoints_compatible
us
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xlm-roberta-large
This model is a fine-tuned version of
makhataei/xlm-roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 7.1503
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: 1e-06
train_batch_size: 14
eval_batch_size: 14
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.0416
1.0
202
6.9265
0.0306
2.0
404
7.2318
0.0272
3.0
606
7.4132
0.0776
4.0
808
7.3535
0.2776
5.0
1010
7.1503
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
