update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- ccmatrix
+metrics:
+- bleu
+model-index:
+- name: opus-mt-id-en-ccmatrix-v2
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: ccmatrix
+      type: ccmatrix
+      config: en-id
+      split: train
+      args: en-id
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 52.173
+---
+
+<!-- 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. -->
+
+# opus-mt-id-en-ccmatrix-v2
+
+This model was trained from scratch on the ccmatrix dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7667
+- Bleu: 52.173
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 4000
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|
+| 0.803         | 1.0   | 148438 | 0.8185          | 50.3216 |
+| 0.7212        | 2.0   | 296876 | 0.7904          | 51.282  |
+| 0.6913        | 3.0   | 445314 | 0.7791          | 51.7806 |
+| 0.6727        | 4.0   | 593752 | 0.7691          | 52.0263 |
+| 0.6609        | 5.0   | 742190 | 0.7667          | 52.173  |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 2.0.0
+- Datasets 2.10.1
+- Tokenizers 0.11.0