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TRUEvoice_objective_wangchanberta_uncaesd_5epoch – AI Model by JeansAthiwat | AlphaNeural AI
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TRUEvoice_objective_wangchanberta_uncaesd_5epoch
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TRUEvoice_objective_wangchanberta_uncaesd_5epoch
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: 0.9846
Accuracy: 0.7761
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.2111
1.0
1339
0.8988
0.7440
0.6932
2.0
2678
0.8492
0.7612
0.5066
3.0
4017
0.8888
0.7649
0.3806
4.0
5356
0.9415
0.7769
0.3174
5.0
6695
0.9846
0.7761
Framework versions
Transformers 4.30.1
Pytorch 2.6.0+cu124
Datasets 3.3.0
Tokenizers 0.13.3