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wangchanberta-base-att-spm-uncased-finetuned – AI Model by nuttakitinta | AlphaNeural AI
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wangchanberta-base-att-spm-uncased-finetuned
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transformers
tensorboard
safetensors
camembert
fill-mask
generated_from_trainer
airesearch/wangchanberta-base-att-spm-uncased
finetune
autotrain_compatible
endpoints_compatible
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wangchanberta-base-att-spm-uncased-finetuned
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: 1.4766
Model Preparation Time: 0.0
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
1.8544
1.0
3282
1.6174
0.0
1.6832
2.0
6564
1.5526
0.0
1.6157
3.0
9846
1.5084
0.0
1.5816
4.0
13128
1.4839
0.0
1.5671
5.0
16410
1.4652
0.0
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu118
Datasets 3.2.0
Tokenizers 0.21.0
