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: 0.1242
-- Sacrebleu: 26.3900
+- Loss: 0.1721
+- Sacrebleu: 11.9480
 
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|
-| 0.1359        | 1.0   | 1285 | 0.1408          | 20.6400   |
-| 0.1051        | 2.0   | 2570 | 0.1259          | 24.6180   |
-| 0.0826        | 3.0   | 3855 | 0.1242          | 26.3900   |
+| Training Loss | Epoch  | Step | Validation Loss | Sacrebleu |
+|:-------------:|:------:|:----:|:---------------:|:---------:|
+| 0.1678        | 0.5004 | 643  | 0.1721          | 11.9480   |
 
 
 ### Framework versions