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
+  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
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5657
+- Bleu: 3.9838
+- Gen Len: 18.8778
+
+## 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: 0.0008
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 4096
+- 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: 5000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| 1.5774        | 7.64  | 1000 | 1.5461          | 3.3312 | 18.8762 |
+| 1.137         | 15.28 | 2000 | 1.4426          | 3.8148 | 18.8755 |
+| 0.9109        | 22.92 | 3000 | 1.4754          | 3.9571 | 18.8752 |
+| 0.7807        | 30.56 | 4000 | 1.5373          | 3.9767 | 18.8761 |
+| 0.7288        | 38.2  | 5000 | 1.5657          | 3.9838 | 18.8778 |
+
+
+### Framework versions
+
+- Transformers 4.27.1
+- Pytorch 2.0.0+cu117
+- Datasets 2.9.0
+- Tokenizers 0.13.2