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clasificador-muchocine – AI Model by frluquba | AlphaNeural AI
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clasificador-muchocine
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transformers
safetensors
bert
text-classification
classification
generated_from_trainer
GKLMIP/bert-khmer-base-uncased-tokenized
finetune
autotrain_compatible
endpoints_compatible
us
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clasificador-muchocine
This model is a fine-tuned version of
GKLMIP/bert-khmer-base-uncased-tokenized
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4228
Accuracy: 0.3959
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: 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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
339
1.5194
0.3313
1.5424
2.0
678
1.4436
0.3589
1.3262
3.0
1017
1.4228
0.3959
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
