End of training

README.md

@@ -1,71 +0,0 @@
----
-license: apache-2.0
-tags:
-- generated_from_trainer
-datasets:
-- kde4
-metrics:
-- bleu
-model-index:
-- name: marian-finetuned-kde4-en-to-fr
-  results:
-  - task:
-      name: Translation
-      type: translation
-    dataset:
-      name: kde4
-      type: kde4
-      args: en-fr
-    metrics:
-    - name: Bleu
-      type: bleu
-      value: 53.2503
----
-
-<!-- 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: 0.8666
-- Bleu: 53.2503
-- Gen Len: 14.7005
-
-## 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: 32
-- 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 4.12.0.dev0
-- Pytorch 1.8.1+cu111
-- Datasets 1.12.2.dev0
-- Tokenizers 0.10.3