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khmer-text-classification-roberta – AI Model by seanghay | AlphaNeural AI
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seanghay
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khmer-text-classification-roberta
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transformers
pytorch
tensorboard
onnx
safetensors
xlm-roberta
text-classification
generated_from_trainer
km
apache-2.0
autotrain_compatible
endpoints_compatible
us
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khmer-text-classification-roberta
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: 0.8290
Accuracy: 0.6477
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: 44
eval_batch_size: 44
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.983
1.0
1228
0.8927
0.6327
0.8734
2.0
2456
0.8639
0.6417
0.8008
3.0
3684
0.8296
0.648
0.7483
4.0
4912
0.8290
0.6477
Framework versions
Transformers 4.29.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
