update model card

README.md

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
+license: mit
 tags:
 - generated_from_trainer
 metrics:
@@ -7,14 +7,15 @@ metrics:
 model-index:
 - name: opus-mt-en-mul-finetuned-lfn-to-en
   results: []
+language:
+- en
+- lfn
+pipeline_tag: translation
 ---
 
-<!-- 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. -->
-
 # opus-mt-en-mul-finetuned-lfn-to-en
 
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mul](https://huggingface.co/Helsinki-NLP/opus-mt-en-mul) on an unknown dataset.
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mul](https://huggingface.co/Helsinki-NLP/opus-mt-en-mul) on the Tatoeba English-Elefen sentence pair dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6208
 - Bleu: 62.9717
@@ -22,15 +23,8 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
+Elefen (or Lingua Franca Nova, abbreviated to "LFN") is a simple language designed for international communication.
+Its vocabulary is based on Catalan, Spanish, French, Italian and Portuguese. The grammar is very reduced, similar to Romance creoles.
 
 ## Training procedure
 
@@ -46,25 +40,9 @@ The following hyperparameters were used during training:
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 290  | 0.9193          | 51.7454 | 11.5088 |
-| 1.2009        | 2.0   | 580  | 0.7614          | 56.6817 | 11.4971 |
-| 1.2009        | 3.0   | 870  | 0.6865          | 59.4575 | 11.4815 |
-| 0.6524        | 4.0   | 1160 | 0.6545          | 60.9631 | 11.5088 |
-| 0.6524        | 5.0   | 1450 | 0.6360          | 61.8171 | 11.5039 |
-| 0.4903        | 6.0   | 1740 | 0.6337          | 61.9929 | 11.5049 |
-| 0.4064        | 7.0   | 2030 | 0.6269          | 62.8025 | 11.5146 |
-| 0.4064        | 8.0   | 2320 | 0.6234          | 62.5979 | 11.5292 |
-| 0.3434        | 9.0   | 2610 | 0.6197          | 63.0131 | 11.5428 |
-| 0.3434        | 10.0  | 2900 | 0.6208          | 62.9717 | 11.5165 |
-
-
 ### Framework versions
 
 - Transformers 4.27.3
 - Pytorch 1.13.1+cu116
 - Datasets 2.10.1
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2