oddadmix/masrawy-english-arabic-translator-clauda-opus-v1

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1757
+- Loss: 1.9350
 
 ## Model description
 
@@ -42,17 +42,27 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 15
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 2.6915        | 1.0   | 1870 | 2.4310          |
-| 2.3824        | 2.0   | 3740 | 2.2902          |
-| 2.2275        | 3.0   | 5611 | 2.2189          |
-| 2.1461        | 4.0   | 7481 | 2.1871          |
-| 2.0854        | 5.0   | 9350 | 2.1757          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.6915        | 1.0   | 1870  | 2.4310          |
+| 2.3824        | 2.0   | 3740  | 2.2902          |
+| 2.2275        | 3.0   | 5611  | 2.2189          |
+| 2.1461        | 4.0   | 7481  | 2.1871          |
+| 2.1294        | 5.0   | 9720  | 1.9911          |
+| 2.0879        | 6.0   | 11665 | 1.9805          |
+| 2.011         | 7.0   | 13609 | 1.9687          |
+| 1.9463        | 8.0   | 15554 | 1.9595          |
+| 1.8914        | 9.0   | 17499 | 1.9506          |
+| 1.8446        | 10.0  | 19443 | 1.9429          |
+| 1.8157        | 11.0  | 21388 | 1.9388          |
+| 1.7932        | 12.0  | 23333 | 1.9402          |
+| 1.7528        | 13.0  | 25277 | 1.9360          |
+| 1.741         | 14.0  | 27222 | 1.9378          |
+| 1.7257        | 15.0  | 29160 | 1.9350          |
 
 
 ### Framework versions

metrics.json

@@ -1,13 +1,13 @@
 {
-    "bleu": 0.24637900327961587,
+    "bleu": 0.28210106971528953,
     "precisions": [
-        0.4861111111111111,
-        0.336734693877551,
-        0.23636363636363636,
-        0.09523809523809523
+        0.5492957746478874,
+        0.3854166666666667,
+        0.2692307692307692,
+        0.1111111111111111
     ],
     "brevity_penalty": 1.0,
-    "length_ratio": 1.1900826446280992,
-    "translation_length": 144,
+    "length_ratio": 1.1735537190082646,
+    "translation_length": 142,
     "reference_length": 121
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 305452744

runs/Dec07_11-49-30_n0gl6upddn/events.out.tfevents.1733572175.n0gl6upddn.95.0

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training_args.bin

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 size 4792