Model save
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README.md
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---
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language:
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- id
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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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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.
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- Rouge1: 0.
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- Rouge2: 0.0
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- Rougel: 0.
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- Rougelsum: 0.
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- Gen Len: 1.0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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### Framework versions
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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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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: 0.7147
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- Rouge1: 0.4109
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- Rouge2: 0.0
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- Rougel: 0.4081
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- Rougelsum: 0.4066
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- Gen Len: 1.0
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## Model description
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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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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 1.5349 | 1.0 | 3566 | 0.9113 | 0.4457 | 0.0 | 0.4447 | 0.4422 | 1.0 |
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| 0.8222 | 2.0 | 7132 | 0.7658 | 0.4293 | 0.0 | 0.4263 | 0.4253 | 1.0 |
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| 0.6231 | 3.0 | 10698 | 0.6906 | 0.4208 | 0.0 | 0.417 | 0.415 | 1.0 |
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| 0.4701 | 4.0 | 14264 | 0.6816 | 0.4158 | 0.0 | 0.4113 | 0.41 | 1.0 |
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| 0.3217 | 5.0 | 17830 | 0.7147 | 0.4109 | 0.0 | 0.4081 | 0.4066 | 1.0 |
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### Framework versions
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model.safetensors
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