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qard-xlm-roberta-base_6 – AI Model by kaisar-barlybay-sse | AlphaNeural AI
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kaisar-barlybay-sse
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qard-xlm-roberta-base_6
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transformers
pytorch
tensorboard
xlm-roberta
multiple-choice
generated_from_trainer
mit
endpoints_compatible
us
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qard-xlm-roberta-base_6
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: 1.3863
Accuracy: 0.2535
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: 5e-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: 6
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.4011
1.0
501
1.3863
0.3034
1.401
2.0
1002
1.3863
0.2754
1.3986
3.0
1503
1.3863
0.2695
1.3922
4.0
2004
1.3863
0.2655
1.3961
5.0
2505
1.3863
0.2156
1.3963
6.0
3006
1.3863
0.2535
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
