lab1_finetuning

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 50.37954994046183
+      value: 50.390127099565355
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.9638
-- Bleu: 50.3795
+- Loss: 0.9637
+- Bleu: 50.3901
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.37.0
-- Pytorch 2.1.2
-- Datasets 2.1.0
-- Tokenizers 0.15.1
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

generation_config.json

@@ -12,5 +12,5 @@
   "num_beams": 4,
   "pad_token_id": 59513,
   "renormalize_logits": true,
-  "transformers_version": "4.37.0"
+  "transformers_version": "4.35.2"
 }