https://huggingface.co/abhikr487/lab1_finetune

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 52.930569776237235
+      value: 54.58730387905399
 ---
 
 <!-- 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: 0.8552
-- Bleu: 52.9306
+- Loss: 0.8057
+- Bleu: 54.5873
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 5e-05
 - train_batch_size: 32
 - eval_batch_size: 64
 - seed: 42
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.37.2
+- 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": "4.37.2"
+  "transformers_version": "4.35.2"
 }