js0309/lab1_finetuning

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 42.88658728799904
+      value: 48.904300566470354
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ 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: 1.4199
-- Model Preparation Time: 0.0053
-- Bleu: 42.8866
+- Loss: 1.0256
+- Model Preparation Time: 0.0032
+- Bleu: 48.9043
 
 ## Model description
 
@@ -60,7 +60,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- training_steps: 100
+- training_steps: 5000
 - mixed_precision_training: Native AMP
 
 ### Training results