update model card README.md

README.md

@@ -4,24 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - opus100
-metrics:
-- bleu
 model-index:
 - name: en2zh_opus_100
-  results:
-  - task:
-      name: Sequence-to-sequence Language Modeling
-      type: text2text-generation
-    dataset:
-      name: opus100
-      type: opus100
-      config: en-zh
-      split: test
-      args: en-zh
-    metrics:
-    - name: Bleu
-      type: bleu
-      value: 12.2521
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # en2zh_opus_100
 
 This model is a fine-tuned version of [HAJIWEE/en2zh_opus_100](https://huggingface.co/HAJIWEE/en2zh_opus_100) on the opus100 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.2328
-- Bleu: 12.2521
-- Gen Len: 15.2895
 
 ## Model description
 
@@ -60,17 +41,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
-| 2.9054        | 1.0   | 166667 | 2.3065          | 12.141  | 15.299  |
-| 2.764         | 2.0   | 333334 | 2.2328          | 12.2521 | 15.2895 |
-
-
 ### Framework versions
 
 - Transformers 4.27.4
-- Pytorch 2.0.0
+- Pytorch 2.0.0+cu117
 - Datasets 2.11.0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.3