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kobart_32_1e-4_datav2_min30_lp5.0_temperature1.0 – AI Model by nlp04 | AlphaNeural AI
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nlp04
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kobart_32_1e-4_datav2_min30_lp5.0_temperature1.0
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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kobart_32_1e-4_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: 2.7215
Rouge1: 36.3912
Rouge2: 13.2376
Rougel: 23.7632
Bleu1: 30.6123
Bleu2: 18.0414
Bleu3: 10.5291
Bleu4: 6.0123
Gen Len: 49.5035
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: 0.0001
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
1.3994
3.78
5000
2.7215
36.3912
13.2376
23.7632
30.6123
18.0414
10.5291
6.0123
49.5035
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2
