update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: indo-t5-base-v2-nusax
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# indo-t5-base-v2-nusax
+
+This model is a fine-tuned version of [lazarus-project/indo-t5-base-v2](https://huggingface.co/lazarus-project/indo-t5-base-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5238
+- Bleu: 3.2043
+- Gen Len: 18.62
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 256
+- total_eval_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| 1.8317        | 2.33  | 500  | 2.4804          | 3.1525 | 18.6295 |
+| 1.4375        | 4.65  | 1000 | 2.5238          | 3.2043 | 18.62   |
+
+
+### Framework versions
+
+- Transformers 4.27.1
+- Pytorch 2.0.0+cu117
+- Datasets 2.9.0
+- Tokenizers 0.13.2