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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metrics:
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- rouge
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model-index:
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- name: indosum-base-0
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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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# indosum-base-0
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This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7149
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- Rouge1: 71.7161
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- Rouge2: 64.386
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- Rougel: 68.5898
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- Rougelsum: 70.7721
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- Gen Len: 99.5373
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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: 4
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- eval_batch_size: 8
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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: 5.0
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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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| 1.5249 | 1.0 | 3566 | 0.8858 | 65.9377 | 58.0172 | 63.1 | 65.0124 | 103.8293 |
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| 0.8202 | 2.0 | 7132 | 0.7492 | 69.7595 | 62.2139 | 66.6576 | 68.9014 | 101.3173 |
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| 0.6232 | 3.0 | 10698 | 0.6953 | 70.7507 | 63.4429 | 67.7582 | 69.8526 | 97.7093 |
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| 0.4728 | 4.0 | 14264 | 0.6717 | 70.8339 | 63.5583 | 67.7546 | 69.8695 | 97.7893 |
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| 0.3238 | 5.0 | 17830 | 0.7149 | 71.7161 | 64.386 | 68.5898 | 70.7721 | 99.5373 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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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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