End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7130
-- Sacrebleu: 8.7570
+- Loss: 0.8628
+- Sacrebleu: 3.0610
 
 ## Model description
 
@@ -43,16 +43,14 @@ 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
-- num_epochs: 3
+- num_epochs: 0.5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|
-| 0.5172        | 1.0   | 3246 | 0.7624          | 6.9927    |
-| 0.4361        | 2.0   | 6492 | 0.7178          | 8.5302    |
-| 0.3856        | 3.0   | 9738 | 0.7130          | 8.7570    |
+| 0.5833        | 0.5   | 1623 | 0.8628          | 3.0610    |
 
 
 ### Framework versions