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apwic
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summarization-base-1

Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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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:
@@ -19,11 +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: 0.5103
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- - Rouge1: 0.4427
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  - Rouge2: 0.0
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- - Rougel: 0.4423
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- - Rougelsum: 0.4403
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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: 5e-05
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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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  ### 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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- | 0.6316 | 1.0 | 3566 | 0.4807 | 0.4602 | 0.0 | 0.4604 | 0.4565 | 1.0 |
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- | 0.4336 | 2.0 | 7132 | 0.4717 | 0.4661 | 0.0 | 0.466 | 0.4622 | 1.0 |
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- | 0.3363 | 3.0 | 10698 | 0.4723 | 0.4799 | 0.0 | 0.479 | 0.4762 | 1.0 |
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- | 0.2656 | 4.0 | 14264 | 0.4825 | 0.4713 | 0.0 | 0.4703 | 0.4666 | 1.0 |
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- | 0.219 | 5.0 | 17830 | 0.5103 | 0.4427 | 0.0 | 0.4423 | 0.4403 | 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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  ---
 
 
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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: 0.7342
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+ - Rouge1: 0.7526
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  - Rouge2: 0.0
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+ - Rougel: 0.7508
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+ - Rougelsum: 0.7516
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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: 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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  ### 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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+ | 1.1936 | 1.0 | 892 | 0.7944 | 0.7769 | 0.0 | 0.7776 | 0.7776 | 1.0 |
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+ | 0.678 | 2.0 | 1784 | 0.6952 | 0.7516 | 0.0 | 0.7464 | 0.7488 | 1.0 |
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+ | 0.4823 | 3.0 | 2676 | 0.6426 | 0.752 | 0.0 | 0.7509 | 0.7499 | 1.0 |
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+ | 0.3348 | 4.0 | 3568 | 0.6651 | 0.7449 | 0.0 | 0.7455 | 0.7449 | 1.0 |
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+ | 0.1967 | 5.0 | 4460 | 0.7342 | 0.7526 | 0.0 | 0.7508 | 0.7516 | 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