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apwic
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indosum-base-0

Transformers
Safetensors
Indonesian
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:
@@ -19,12 +17,12 @@ 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: 0.7149
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- - Rouge1: 72.3288
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- - Rouge2: 65.2271
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- - Rougel: 69.3889
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- - Rougelsum: 71.4606
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- - Gen Len: 99.9773
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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: 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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- | 1.5249 | 1.0 | 3566 | 0.8858 | 65.9377 | 58.0172 | 63.1 | 65.0124 | 103.8293 |
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- | 0.8202 | 2.0 | 7132 | 0.7492 | 69.7595 | 62.2139 | 66.6576 | 68.9014 | 101.3173 |
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- | 0.6232 | 3.0 | 10698 | 0.6953 | 70.7507 | 63.4429 | 67.7582 | 69.8526 | 97.7093 |
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- | 0.4728 | 4.0 | 14264 | 0.6717 | 70.8339 | 63.5583 | 67.7546 | 69.8695 | 97.7893 |
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- | 0.3238 | 5.0 | 17830 | 0.7149 | 71.7161 | 64.386 | 68.5898 | 70.7721 | 99.5373 |
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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: 0.7170
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+ - Rouge1: 72.5364
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+ - Rouge2: 65.2519
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+ - Rougel: 69.5637
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+ - Rougelsum: 71.6884
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+ - Gen Len: 98.9053
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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: 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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+ | 1.2132 | 1.0 | 892 | 0.7742 | 67.4414 | 59.7409 | 64.517 | 66.4918 | 94.092 |
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+ | 0.686 | 2.0 | 1784 | 0.6673 | 70.2138 | 62.8202 | 67.1553 | 69.3063 | 100.2933 |
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+ | 0.491 | 3.0 | 2676 | 0.6274 | 71.2142 | 63.9943 | 68.2722 | 70.2971 | 100.944 |
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+ | 0.343 | 4.0 | 3568 | 0.6469 | 71.7114 | 64.489 | 68.7214 | 70.7949 | 98.8227 |
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+ | 0.2059 | 5.0 | 4460 | 0.7170 | 72.5364 | 65.2519 | 69.5637 | 71.6884 | 98.9053 |
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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