Samuael/ethiopic-sec2sec-supervised

README.md

@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Samuael/ethiopic-sec2sec-tigrinya](https://huggingface.co/Samuael/ethiopic-sec2sec-tigrinya) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.5557
-- Wer: 0.2489
-- Cer: 0.1202
-- Bleu: 67.5274
+- Loss: 4.3390
+- Wer: 0.2570
+- Cer: 0.1269
+- Bleu: 67.2562
 
 ## Model description
 
@@ -46,14 +46,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 9
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Bleu    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|
-| 0.071         | 1.0   | 433  | 3.5557          | 0.2489 | 0.1202 | 67.5274 |
+| 0.086         | 1.0   | 433  | 4.0475          | 0.2592 | 0.1222 | 67.0097 |
+| 0.1177        | 2.0   | 866  | 3.8429          | 0.3645 | 0.2577 | 59.7600 |
+| 0.1312        | 3.0   | 1299 | 4.0294          | 0.2630 | 0.1337 | 66.8126 |
+| 0.1322        | 4.0   | 1732 | 4.1292          | 0.2527 | 0.1231 | 68.4884 |
+| 0.1411        | 5.0   | 2165 | 3.9989          | 0.2662 | 0.1358 | 66.4299 |
+| 0.1686        | 6.0   | 2598 | 4.1555          | 0.2592 | 0.1388 | 67.9808 |
+| 0.1587        | 7.0   | 3031 | 4.2802          | 0.2543 | 0.1264 | 66.9025 |
+| 0.1386        | 8.0   | 3464 | 4.2682          | 0.2554 | 0.1283 | 68.7450 |
+| 0.0886        | 9.0   | 3897 | 4.3390          | 0.2570 | 0.1269 | 67.2562 |
 
 
 ### Framework versions