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update model card README.md

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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  datasets:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 0.1432
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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
@@ -31,12 +32,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the thaisum dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3540
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- - Rouge1: 0.1432
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- - Rouge2: 0.041
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- - Rougel: 0.1423
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- - Rougelsum: 0.142
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- - Gen Len: 18.933
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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: 2e-05
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- - train_batch_size: 4
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- - eval_batch_size: 4
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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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- | 2.4271 | 1.0 | 2500 | 0.3976 | 0.1306 | 0.0372 | 0.1302 | 0.1299 | 18.9665 |
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- | 2.1992 | 2.0 | 5000 | 0.3720 | 0.1392 | 0.0376 | 0.1382 | 0.1384 | 18.922 |
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- | 2.1687 | 3.0 | 7500 | 0.3599 | 0.1401 | 0.0391 | 0.1394 | 0.1389 | 18.9215 |
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- | 2.1096 | 4.0 | 10000 | 0.3540 | 0.1432 | 0.041 | 0.1423 | 0.142 | 18.933 |
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  ### Framework versions
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- - Transformers 4.30.2
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3
 
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  ---
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  license: apache-2.0
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+ base_model: google/mt5-base
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 0.2017
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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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  This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the thaisum dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3039
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+ - Rouge1: 0.2017
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+ - Rouge2: 0.0806
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+ - Rougel: 0.2016
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+ - Rougelsum: 0.2017
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+ - Gen Len: 18.9995
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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: 0.0002
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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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+ | 2.0742 | 1.0 | 5000 | 0.3272 | 0.1713 | 0.055 | 0.1703 | 0.1716 | 18.9945 |
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+ | 1.7874 | 2.0 | 10000 | 0.3073 | 0.194 | 0.0742 | 0.1942 | 0.194 | 18.997 |
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+ | 1.6341 | 3.0 | 15000 | 0.3035 | 0.2002 | 0.0804 | 0.1999 | 0.2002 | 19.0 |
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+ | 1.4501 | 4.0 | 20000 | 0.3039 | 0.2017 | 0.0806 | 0.2016 | 0.2017 | 18.9995 |
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  ### Framework versions
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+ - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3