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finetuned-SC-indobert-on-indonli_basic-train – AI Model by muhammadravi251001 | AlphaNeural AI
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finetuned-SC-indobert-on-indonli_basic-train
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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finetuned-SC-indobert-on-indonli_basic-train
This model is a fine-tuned version of
indolem/indobert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0742
Accuracy: 0.4433
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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.0899
1.0
161
1.0742
0.4433
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.2.0
Tokenizers 0.13.2
