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apwic
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summarization-base-0

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text-generation-inference
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@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.7208
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- - Rouge1: 0.6602
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  - Rouge2: 0.0
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- - Rougel: 0.6558
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- - Rougelsum: 0.6584
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  - Gen Len: 1.0
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  ## Model description
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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: 8
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- - eval_batch_size: 16
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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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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | 1.3499 | 1.0 | 1783 | 0.8425 | 0.6751 | 0.0 | 0.6714 | 0.6724 | 1.0 |
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- | 0.7508 | 2.0 | 3566 | 0.7148 | 0.7129 | 0.0 | 0.7106 | 0.7091 | 1.0 |
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- | 0.5557 | 3.0 | 5349 | 0.6591 | 0.6716 | 0.0 | 0.6666 | 0.6669 | 1.0 |
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- | 0.4087 | 4.0 | 7132 | 0.6609 | 0.7079 | 0.0 | 0.7053 | 0.7064 | 1.0 |
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- | 0.2641 | 5.0 | 8915 | 0.7208 | 0.6602 | 0.0 | 0.6558 | 0.6584 | 1.0 |
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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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  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: 0.677
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  - Rouge2: 0.0
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+ - Rougel: 0.6766
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+ - Rougelsum: 0.6756
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  - Gen Len: 1.0
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  ## Model description
 
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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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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 1.2189 | 1.0 | 892 | 0.7782 | 0.6456 | 0.0 | 0.6409 | 0.6449 | 1.0 |
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+ | 0.6795 | 2.0 | 1784 | 0.6560 | 0.6574 | 0.0 | 0.6553 | 0.6569 | 1.0 |
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+ | 0.4861 | 3.0 | 2676 | 0.6245 | 0.6717 | 0.0 | 0.6667 | 0.6691 | 1.0 |
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+ | 0.3405 | 4.0 | 3568 | 0.6443 | 0.6974 | 0.0 | 0.6969 | 0.6948 | 1.0 |
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+ | 0.2041 | 5.0 | 4460 | 0.7147 | 0.677 | 0.0 | 0.6766 | 0.6756 | 1.0 |
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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