update model card README.md

README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: easyword_model
+  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. -->
+
+# easyword_model
+
+This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2716
+- Bleu: 5.0183
+- Gen Len: 5.9503
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 31   | 3.4523          | 4.1533 | 6.7329  |
+| No log        | 2.0   | 62   | 3.3133          | 4.8743 | 5.8944  |
+| No log        | 3.0   | 93   | 3.2716          | 5.0183 | 5.9503  |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.12.0
+- Tokenizers 0.13.3