update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- mt_eng_vietnamese
+metrics:
+- bleu
+model-index:
+- name: CK_T5
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: mt_eng_vietnamese
+      type: mt_eng_vietnamese
+      config: iwslt2015-vi-en
+      split: test
+      args: iwslt2015-vi-en
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 0.1851
+---
+
+<!-- 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. -->
+
+# CK_T5
+
+This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the mt_eng_vietnamese dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4489
+- Bleu: 0.1851
+- Gen Len: 18.751
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
+| 1.6572        | 1.0   | 8333  | 1.5155          | 0.0992 | 18.7864 |
+| 1.5895        | 2.0   | 16666 | 1.4489          | 0.1851 | 18.751  |
+
+
+### Framework versions
+
+- Transformers 4.29.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3