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-3
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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-3
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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: 0.7690
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- Rouge1: 71.4437
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- Rouge2: 64.1873
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- Rougel: 68.2379
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- Rougelsum: 70.5264
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- Gen Len: 98.6667
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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: 32
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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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| 1.1937 | 1.0 | 892 | 0.8370 | 64.7751 | 56.7545 | 61.4956 | 63.81 | 90.984 |
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| 0.6828 | 2.0 | 1784 | 0.6911 | 69.9628 | 62.6338 | 66.8253 | 69.0763 | 101.1173 |
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| 0.4847 | 3.0 | 2676 | 0.6692 | 69.9807 | 62.5614 | 66.7619 | 69.0683 | 95.6133 |
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| 0.3348 | 4.0 | 3568 | 0.7029 | 70.9247 | 63.6191 | 67.7749 | 70.0079 | 100.1547 |
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| 0.1988 | 5.0 | 4460 | 0.7690 | 71.4437 | 64.1873 | 68.2379 | 70.5264 | 98.6667 |
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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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