indosum-lora-0 / README.md
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metadata
language:
  - id
license: apache-2.0
base_model: LazarusNLP/IndoNanoT5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: indosum-lora-0
    results: []

indosum-lora-0

This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4876
  • Rouge1: 73.5772
  • Rouge2: 66.7059
  • Rougel: 70.6615
  • Rougelsum: 72.7397
  • Gen Len: 102.9213

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: 0.001
  • train_batch_size: 16
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.7749 1.0 892 0.5290 71.3679 64.0441 68.2584 70.462 103.084
0.5963 2.0 1784 0.5043 71.9204 64.8766 68.9265 71.053 105.9827
0.5524 3.0 2676 0.4928 72.0196 65.0022 69.1173 71.1808 103.2227
0.5236 4.0 3568 0.4948 72.454 65.5465 69.6508 71.6454 105.364
0.5017 5.0 4460 0.4876 73.194 66.308 70.335 72.3629 102.86

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1