update model card README.md

README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: En-Af_update
+  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. -->
+
+# En-Af_update
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-af](https://huggingface.co/Helsinki-NLP/opus-mt-en-af) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8089
+- Bleu: 45.1780
+
+## 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: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 1.4243        | 1.0   | 2553  | 1.8451          | 42.1314 |
+| 1.0987        | 2.0   | 5106  | 1.7509          | 44.0714 |
+| 0.9329        | 3.0   | 7659  | 1.7340          | 44.6003 |
+| 0.8365        | 4.0   | 10212 | 1.7260          | 44.7820 |
+| 0.7556        | 5.0   | 12765 | 1.7590          | 45.1180 |
+| 0.6944        | 6.0   | 15318 | 1.7715          | 45.1451 |
+| 0.652         | 7.0   | 17871 | 1.7696          | 45.1025 |
+| 0.6132        | 8.0   | 20424 | 1.8060          | 45.1781 |
+| 0.5832        | 9.0   | 22977 | 1.8135          | 45.2485 |
+| 0.5602        | 10.0  | 25530 | 1.8089          | 45.1730 |
+
+
+### Framework versions
+
+- Transformers 4.21.0
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1