update model card README.md

README.md

@@ -0,0 +1,71 @@
+---
+license: apache-2.0
+tags:
+- translation
+- generated_from_trainer
+datasets:
+- kde4
+metrics:
+- bleu
+model-index:
+- name: marian-finetuned-kde4-en-to-fr
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: kde4
+      type: kde4
+      args: en-fr
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 53.57438381688707
+---
+
+<!-- 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: 0.8388
+- Bleu: 53.5744
+
+## 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: 32
+- 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 4.17.0
+- Pytorch 1.10.0
+- Datasets 2.0.0
+- Tokenizers 0.11.6

runs/Apr07_19-13-20_LAPTOP-RPDI0CDD/events.out.tfevents.1649336348.LAPTOP-RPDI0CDD

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d1f81def9318ef15193fc939f8bdf687e61ddf656b7c7d81df71ee2829456d20
-size 253
+oid sha256:7964dcfc019117433b7988936d305a4196b0705dc4f71b93d4e32b2f9cdfe660
+size 365