update model card README.md

README.md

@@ -0,0 +1,64 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: mBART_translator_json_hyperparameter_1
+  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. -->
+
+# mBART_translator_json_hyperparameter_1
+
+This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0871
+- Bleu: 86.6567
+- Gen Len: 43.0648
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 2.4912        | 1.0   | 1998 | 0.6319          | 66.5947 | 80.0315 |
+| 1.4069        | 2.0   | 3996 | 0.2170          | 72.413  | 64.2111 |
+| 1.0829        | 3.0   | 5994 | 0.1315          | 78.7786 | 40.3136 |
+| 0.8977        | 4.0   | 7992 | 0.0979          | 84.3878 | 42.5152 |
+| 0.8452        | 5.0   | 9990 | 0.0871          | 86.6567 | 43.0648 |
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.6.0
+- Tokenizers 0.13.1