End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-it-en](https://huggingface.co/Helsinki-NLP/opus-mt-it-en) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5582
-- Bleu: 7.9841
-- Gen Len: 36.3325
+- Loss: 1.3595
+- Bleu: 9.6913
+- Gen Len: 36.0054
 
 ## Model description
 
@@ -47,15 +47,17 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
-| 2.1347        | 1.0   | 8066  | 1.6707          | 7.0045 | 37.0437 |
-| 1.9546        | 2.0   | 16132 | 1.5582          | 7.9841 | 36.3325 |
+| 2.0728        | 1.0   | 8066  | 1.6218          | 7.3281 | 36.9712 |
+| 1.8058        | 2.0   | 16132 | 1.4415          | 8.9077 | 36.0686 |
+| 1.6925        | 3.0   | 24198 | 1.3778          | 9.5031 | 36.0025 |
+| 1.6379        | 4.0   | 32264 | 1.3595          | 9.6913 | 36.0054 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:90f5173eed1f42349161b3d4ac1157568cce97e4fe948d463c128f5fd29600a3
 size 341520748