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augment-aspect-finnlp-th – AI Model by nlp-chula | AlphaNeural AI
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augment-aspect-finnlp-th
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transformers
pytorch
camembert
text-classification
generated_from_trainer
airesearch/wangchanberta-base-att-spm-uncased
finetune
autotrain_compatible
endpoints_compatible
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augment-aspect-finnlp-th
This model is a fine-tuned version of
airesearch/wangchanberta-base-att-spm-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8283
Accuracy: 0.7819
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: 16
eval_batch_size: 16
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
1.1709
1.0
1024
0.9057
0.7215
0.762
2.0
2048
0.7890
0.7580
0.5093
3.0
3072
0.8182
0.7637
0.3634
4.0
4096
0.8283
0.7819
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
