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epoch3-batch-4-withKon-bart-model-edit-2 – AI Model by Jo-2j | AlphaNeural AI
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Jo-2j
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epoch3-batch-4-withKon-bart-model-edit-2
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
gogamza/kobart-base-v2
finetune
mit
endpoints_compatible
us
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epoch3-batch-4-withKon-bart-model-edit-2
This model is a fine-tuned version of
gogamza/kobart-base-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1327
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.1392
1.0
1268
0.1327
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
