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-1
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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-1
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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: 0.7285
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- Rouge1: 71.2709
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- Rouge2: 63.9704
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- Rougel: 68.0718
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- Rougelsum: 70.4345
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- Gen Len: 98.3792
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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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| 1.5428 | 1.0 | 3566 | 0.9651 | 65.543 | 57.2356 | 62.3412 | 64.6125 | 103.0561 |
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| 0.8422 | 2.0 | 7132 | 0.7883 | 68.7622 | 61.187 | 65.4631 | 67.9119 | 95.1615 |
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| 0.6457 | 3.0 | 10698 | 0.7254 | 69.2705 | 61.8962 | 66.1101 | 68.4083 | 102.7557 |
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| 0.4948 | 4.0 | 14264 | 0.6871 | 71.0668 | 63.8176 | 67.9618 | 70.2487 | 100.2109 |
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| 0.348 | 5.0 | 17830 | 0.7285 | 71.2709 | 63.9704 | 68.0718 | 70.4345 | 98.3792 |
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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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