modified-qa – AI Model by peterandrew987 | AlphaNeural AI

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peterandrew987/
modified-qa

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text2text-generation

generated_from_trainer

indobenchmark/indobart-v2

endpoints_compatible

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modified-qa

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: 3.9723
Rouge1: 13.4458
Rouge2: 6.819
Rougel: 11.2064
Rougelsum: 12.5476
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
4.436	1.0	200	3.9723	13.4458	6.819	11.2064	12.5476	20.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.2
Tokenizers 0.13.3