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kobart-hashtag – AI Model by jjae | AlphaNeural AI
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transformers
safetensors
bart
text2text-generation
kobart-hashtag
generated_from_trainer
gogamza/kobart-base-v2
finetune
mit
endpoints_compatible
us
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This model is a fine-tuned version of
gogamza/kobart-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7086
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: 5.6e-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
lr_scheduler_warmup_steps: 300
num_epochs: 50
Training results
Training Loss
Epoch
Step
Validation Loss
0.2628
1.23
500
0.6570
0.1678
2.47
1000
0.7086
0.1958
3.7
1500
0.7066
0.1283
4.94
2000
0.7354
0.0883
6.17
2500
0.7892
0.066
7.41
3000
0.8266
Framework versions
Transformers 4.39.3
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.0
