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gy_Jeolla_test – AI Model by yomilimi | AlphaNeural AI
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yomilimi
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gy_Jeolla_test
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
yomilimi/Gyeongsang_encoder
finetune
mit
endpoints_compatible
us
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gy_Jeolla_test
This model is a fine-tuned version of
yomilimi/Gyeongsang_encoder
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0642
Bleu: 80.4544
Gen Len: 14.1795
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.0737
1.0
15477
0.0721
78.571
14.2081
0.0685
2.0
30954
0.0655
80.1472
14.1847
0.0643
3.0
46431
0.0642
80.4544
14.1795
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1
