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kancilgpt-v20240120-with-summary – AI Model by abdiharyadi | AlphaNeural AI
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abdiharyadi
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kancilgpt-v20240120-with-summary
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
indobenchmark/indogpt
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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kancilgpt
This model is a fine-tuned version of
indobenchmark/indogpt
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9630
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.224
1.0
805
1.8612
0.8299
2.0
1610
1.9347
0.7022
3.0
2415
1.9630
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
