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xlm-roberta-base-vsfc-1 – AI Model by tmnam20 | AlphaNeural AI
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tmnam20
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xlm-roberta-base-vsfc-1
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
en
tmnam20/VieGLUE
FacebookAI/xlm-roberta-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-vsfc-1
This model is a fine-tuned version of
xlm-roberta-base
on the tmnam20/VieGLUE/VSFC dataset. It achieves the following results on the evaluation set:
Loss: 0.2253
Accuracy: 0.9450
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: 1
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
0.207
1.4
500
0.2353
0.9400
0.1438
2.79
1000
0.2245
0.9450
Framework versions
Transformers 4.35.2
Pytorch 2.2.0.dev20231203+cu121
Datasets 2.15.0
Tokenizers 0.15.0
