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kobart_32_4e-5_datav2_min30_lp5.0_temperature1.0 – AI Model by nlp04 | AlphaNeural AI | AlphaNeural AI
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nlp04
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kobart_32_4e-5_datav2_min30_lp5.0_temperature1.0
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
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kobart_32_4e-5_datav2_min30_lp5.0_temperature1.0
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: 2.6131
Rouge1: 35.7499
Rouge2: 13.0188
Rougel: 23.5089
Bleu1: 29.9409
Bleu2: 17.5869
Bleu3: 10.4195
Bleu4: 6.1345
Gen Len: 50.5967
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: 4e-05
train_batch_size: 32
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Bleu1
Bleu2
Bleu3
Bleu4
Gen Len
1.7368
3.78
5000
2.6131
35.7499
13.0188
23.5089
29.9409
17.5869
10.4195
6.1345
50.5967
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2
