Ragab167/m2m_translation_v2

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1872
+- Loss: 0.1847
 
 ## Model description
 
@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 4
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,21 +46,41 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.7586        | 0.25  | 100  | 0.4346          |
-| 0.3151        | 0.51  | 200  | 0.2401          |
-| 0.2789        | 0.76  | 300  | 0.2173          |
-| 0.2415        | 1.02  | 400  | 0.2048          |
-| 0.166         | 1.27  | 500  | 0.2021          |
-| 0.161         | 1.52  | 600  | 0.1979          |
-| 0.1653        | 1.78  | 700  | 0.1931          |
-| 0.1508        | 2.03  | 800  | 0.1921          |
-| 0.1107        | 2.28  | 900  | 0.1894          |
-| 0.0961        | 2.54  | 1000 | 0.1905          |
-| 0.1185        | 2.79  | 1100 | 0.1871          |
-| 0.1032        | 3.05  | 1200 | 0.1881          |
-| 0.0788        | 3.3   | 1300 | 0.1881          |
-| 0.0765        | 3.55  | 1400 | 0.1876          |
-| 0.0816        | 3.81  | 1500 | 0.1872          |
+| 3.7809        | 0.11  | 100  | 0.3955          |
+| 0.379         | 0.23  | 200  | 0.2623          |
+| 0.2876        | 0.34  | 300  | 0.2431          |
+| 0.2733        | 0.46  | 400  | 0.2327          |
+| 0.2885        | 0.57  | 500  | 0.2230          |
+| 0.2414        | 0.69  | 600  | 0.2162          |
+| 0.2347        | 0.8   | 700  | 0.2119          |
+| 0.2509        | 0.91  | 800  | 0.2056          |
+| 0.2237        | 1.03  | 900  | 0.2042          |
+| 0.1759        | 1.14  | 1000 | 0.2009          |
+| 0.1471        | 1.26  | 1100 | 0.1984          |
+| 0.1759        | 1.37  | 1200 | 0.1959          |
+| 0.1396        | 1.49  | 1300 | 0.1960          |
+| 0.1656        | 1.6   | 1400 | 0.1936          |
+| 0.163         | 1.71  | 1500 | 0.1898          |
+| 0.1463        | 1.83  | 1600 | 0.1879          |
+| 0.1662        | 1.94  | 1700 | 0.1858          |
+| 0.1297        | 2.06  | 1800 | 0.1889          |
+| 0.0841        | 2.17  | 1900 | 0.1886          |
+| 0.1           | 2.29  | 2000 | 0.1880          |
+| 0.0937        | 2.4   | 2100 | 0.1873          |
+| 0.1023        | 2.51  | 2200 | 0.1862          |
+| 0.0918        | 2.63  | 2300 | 0.1864          |
+| 0.0981        | 2.74  | 2400 | 0.1863          |
+| 0.0993        | 2.86  | 2500 | 0.1841          |
+| 0.1086        | 2.97  | 2600 | 0.1834          |
+| 0.083         | 3.09  | 2700 | 0.1869          |
+| 0.07          | 3.2   | 2800 | 0.1873          |
+| 0.0609        | 3.31  | 2900 | 0.1865          |
+| 0.0637        | 3.43  | 3000 | 0.1861          |
+| 0.078         | 3.54  | 3100 | 0.1862          |
+| 0.0605        | 3.66  | 3200 | 0.1844          |
+| 0.0606        | 3.77  | 3300 | 0.1845          |
+| 0.0579        | 3.89  | 3400 | 0.1849          |
+| 0.0687        | 4.0   | 3500 | 0.1847          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dcb7a604bbded2bbab46c1eabc882e52bec41b7e2682bdb8646d020de47b4f27
+oid sha256:da5b2552fd43bb3fc97bdeefba7badcd3fb7691723cbd17ecf9e287ad4c3b56d
 size 1935681888

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:673df13a22d1b7b8cd680550189c8efb8eeeb56a0bce87a3bcac55714d9e7cc0
+oid sha256:6207ef01ae82e58748893b35f70885aaff6eaf5ce4202eef20e57728b301f731
 size 5048