update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- translation
+- generated_from_trainer
+datasets:
+- kde4
+model-index:
+- name: marian-finetuned-kde4-en-to-fr
+  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. -->
+
+# marian-finetuned-kde4-en-to-fr
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8815
+- Score: 52.2204
+- Counts: [166010, 120787, 91973, 70929]
+- Totals: [228361, 207343, 189354, 173335]
+- Precisions: [72.69630103213771, 58.254679444205976, 48.57198686058916, 40.92018345977443]
+- Bp: 0.9695
+- Sys Len: 228361
+- Ref Len: 235434
+
+## 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: 64
+- eval_batch_size: 64
+- 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
+
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.10.0a0+0aef44c
+- Datasets 1.18.3
+- Tokenizers 0.11.0