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xlm-roberta-large-vsmec-10 – AI Model by tmnam20 | AlphaNeural AI | AlphaNeural AI
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tmnam20
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xlm-roberta-large-vsmec-10
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
en
tmnam20/VieGLUE
FacebookAI/xlm-roberta-large
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-large-vsmec-10
This model is a fine-tuned version of
xlm-roberta-large
on the tmnam20/VieGLUE/VSMEC dataset. It achieves the following results on the evaluation set:
Loss: 1.6499
Accuracy: 0.3790
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: 32
eval_batch_size: 16
seed: 10
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.6481
2.87
500
1.6571
0.3761
Framework versions
Transformers 4.36.0
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
