update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-es
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: medical_pubmed_8_19
+  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. -->
+
+# medical_pubmed_8_19
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4625
+- Bleu: 58.7452
+- Gen Len: 119.0251
+
+## 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: 8e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|
+| 0.8785        | 3.25  | 1000 | 0.8319          | 47.8321 | 118.9146 |
+| 0.6571        | 6.5   | 2000 | 0.7008          | 50.9386 | 118.9497 |
+| 0.5257        | 9.76  | 3000 | 0.5956          | 53.6824 | 118.9724 |
+| 0.4406        | 13.01 | 4000 | 0.5257          | 56.3775 | 119.0075 |
+| 0.3834        | 16.26 | 5000 | 0.4808          | 57.9502 | 119.0302 |
+| 0.3541        | 19.51 | 6000 | 0.4625          | 58.7452 | 119.0251 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3