update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- opus100
+metrics:
+- bleu
+model-index:
+- name: my_awesome_opus_books_model
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: opus100
+      type: opus100
+      config: en-ja
+      split: test
+      args: en-ja
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 23.8215
+---
+
+<!-- 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. -->
+
+# my_awesome_opus_books_model
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4506
+- Bleu: 23.8215
+- Gen Len: 4.6055
+
+## 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: 2
+- eval_batch_size: 2
+- 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 |
+|:-------------:|:-----:|:-------:|:---------------:|:-------:|:-------:|
+| 0.4468        | 1.0   | 500000  | 0.4585          | 23.9023 | 4.705   |
+| 0.4397        | 2.0   | 1000000 | 0.4506          | 23.8215 | 4.6055  |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.12.0
+- Tokenizers 0.13.3