End of training

README.md

@@ -14,6 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 # opus-tatoeba-en-tr-finetuned-en-to-tr
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-en-tr](https://huggingface.co/Helsinki-NLP/opus-tatoeba-en-tr) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0240
 
 ## Model description
 
@@ -42,8 +44,16 @@ The following hyperparameters were used during training:
 - mixed_precision_training: Native AMP
 - label_smoothing_factor: 0.1
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.4348        | 1.0   | 12860 | 3.0240          |
+
+
 ### Framework versions
 
 - Transformers 4.37.2
 - Pytorch 2.1.0+cu121
+- Datasets 2.17.1
 - Tokenizers 0.15.2

model.safetensors

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runs/Feb25_06-05-45_957c108288e6/events.out.tfevents.1708841157.957c108288e6.640.0

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training_args.bin

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