Model save
Browse files- README.md +68 -0
- generation_config.json +6 -0
README.md
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---
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license: apache-2.0
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base_model: LazarusNLP/IndoNanoT5-base
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tags:
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- generated_from_trainer
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datasets:
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- id_liputan6
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metrics:
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- rouge
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model-index:
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- name: liputan6-base
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# liputan6-base
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This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0398
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- Rouge1: 35.4918
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- Rouge2: 17.885
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- Rougel: 29.6804
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- Rougelsum: 32.9507
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- Gen Len: 36.4740
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 16
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 2.0683 | 1.0 | 12118 | 2.3723 | 33.423 | 16.5875 | 28.0723 | 31.0371 | 38.1132 |
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| 1.5342 | 2.0 | 24236 | 2.1400 | 34.4775 | 17.1757 | 28.8546 | 32.0264 | 36.7176 |
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| 1.241 | 3.0 | 36354 | 2.0398 | 35.4918 | 17.885 | 29.6804 | 32.9507 | 36.4740 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.40.2"
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}
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