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modified – AI Model by peterandrew987 | AlphaNeural AI
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
squad
indobenchmark/indobart-v2
finetune
mit
model-index
endpoints_compatible
us
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This model is a fine-tuned version of
indobenchmark/indobart-v2
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.6035
Rouge1: 15.4275
Rouge2: 14.2367
Rougel: 15.4625
Rougelsum: 15.4954
Gen Len: 20.0
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1
label_smoothing_factor: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.4719
1.0
200
1.6035
15.4275
14.2367
15.4625
15.4954
20.0
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.2
Tokenizers 0.13.3
