update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: DS-Chatbox-mbart-large-50
+  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. -->
+
+# DS-Chatbox-mbart-large-50
+
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0014
+
+## 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: 0.0005
+- train_batch_size: 4
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.977         | 0.19  | 100  | 0.0001          |
+| 0.023         | 0.38  | 200  | 0.0002          |
+| 0.0005        | 0.57  | 300  | 0.0005          |
+| 0.0007        | 0.76  | 400  | 0.0006          |
+| 0.0012        | 0.95  | 500  | 0.0014          |
+
+
+### Framework versions
+
+- Transformers 4.30.1
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3