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liputan_6_model
verydwis/liputan_6_model
liputan_6_model is a machine learning model from verydwis. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- Dec 1, 2023
- Updated
- Dec 2, 2023
- SHA
- 9c29ba75
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
liputan_6_model
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7021
- Rouge1: 20.9792
- Rouge2: 11.4128
- Rougel: 20.6501
- Rougelsum: 20.6522
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: 2e-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: 1
- training_steps: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.332 | 0.0 | 10 | 0.7021 | 20.9792 | 11.4128 | 20.6501 | 20.6522 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- encoder-decoder
- Created
- Dec 1, 2023
- Updated
- Dec 2, 2023