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REPEAT622_4wangchanberta-base-att-spm-uncased – AI Model by Tonjk | AlphaNeural AI
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REPEAT622_4wangchanberta-base-att-spm-uncased
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transformers
pytorch
tensorboard
camembert
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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REPEAT622_4wangchanberta-base-att-spm-uncased
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: 0.1801
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4095
1.0
9531
0.1991
0.2703
2.0
19062
0.2462
0.2166
3.0
28593
0.1892
0.1714
4.0
38124
0.1808
0.1637
5.0
47655
0.1801
Framework versions
Transformers 4.15.0
Pytorch 1.13.0+cu116
Datasets 1.17.0
Tokenizers 0.10.3
