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TRUEvoice_objective_wangchanberta_uncaesd – AI Model by JeansAthiwat | AlphaNeural AI
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TRUEvoice_objective_wangchanberta_uncaesd
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pytorch
tensorboard
camembert
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TRUEvoice_objective_wangchanberta_uncaesd
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: 0.8584
Accuracy: 0.7627
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.1575
1.0
1339
0.9228
0.7373
0.7054
2.0
2678
0.8584
0.7627
Framework versions
Transformers 4.30.1
Pytorch 2.6.0+cu124
Datasets 3.3.0
Tokenizers 0.13.3
