update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: cantonese-chinese-translation-gen1
+  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. -->
+
+# cantonese-chinese-translation-gen1
+
+This model is a fine-tuned version of [fnlp/bart-base-chinese](https://huggingface.co/fnlp/bart-base-chinese) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5413
+- Bleu: 40.7808
+- Chrf: 42.5628
+- Gen Len: 13.2556
+
+## 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: 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Chrf    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|
+| 0.2275        | 0.05  | 5000  | 1.5256          | 40.6521 | 42.475  | 13.2277 |
+| 0.1752        | 0.1   | 10000 | 1.5413          | 40.7808 | 42.5628 | 13.2556 |
+| 0.1533        | 0.15  | 15000 | 1.5938          | 40.7698 | 42.5348 | 13.2678 |
+| 0.1442        | 0.2   | 20000 | 1.6487          | 40.6062 | 42.353  | 13.2602 |
+| 0.1317        | 0.24  | 25000 | 1.7148          | 40.569  | 42.2753 | 13.2798 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.13.3