Zeta611
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easyword-model-peft-distilled-1.3B

PyTorch

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Zeta611 commited on May 26, 2023

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update model card README.md

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@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.4596
-- Bleu: 2.6322
-- Gen Len: 5.8199
 ## Model description
@@ -43,23 +43,29 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
 - mixed_precision_training: Native AMP
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 31   | 4.9810          | 0.0    | 9.4099  |
-| No log        | 2.0   | 62   | 4.4936          | 0.0    | 8.7516  |
-| No log        | 3.0   | 93   | 4.0142          | 1.017  | 7.1801  |
-| No log        | 4.0   | 124  | 3.6795          | 1.7949 | 6.2733  |
-| No log        | 5.0   | 155  | 3.5729          | 2.5943 | 5.9255  |
-| No log        | 6.0   | 186  | 3.5270          | 2.6178 | 5.882   |
-| No log        | 7.0   | 217  | 3.4960          | 2.92   | 5.8075  |
-| No log        | 8.0   | 248  | 3.4751          | 2.6168 | 5.8447  |
-| No log        | 9.0   | 279  | 3.4634          | 2.6063 | 5.8385  |
-| No log        | 10.0  | 310  | 3.4596          | 2.6322 | 5.8199  |
 ### Framework versions

 This model is a fine-tuned version of [facebook/nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 3.2720
+- Bleu: 3.3083
+- Gen Len: 5.882
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 16
 - mixed_precision_training: Native AMP
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 31   | 4.9650          | 0.0    | 9.3975  |
+| No log        | 2.0   | 62   | 4.4353          | 0.1522 | 8.6957  |
+| No log        | 3.0   | 93   | 3.8967          | 1.2792 | 6.8137  |
+| No log        | 4.0   | 124  | 3.6053          | 2.6004 | 6.0062  |
+| No log        | 5.0   | 155  | 3.5239          | 2.9339 | 5.8571  |
+| No log        | 6.0   | 186  | 3.4692          | 2.6031 | 5.8261  |
+| No log        | 7.0   | 217  | 3.4244          | 2.6536 | 5.795   |
+| No log        | 8.0   | 248  | 3.3865          | 2.6445 | 5.8509  |
+| No log        | 9.0   | 279  | 3.3555          | 2.5482 | 5.9193  |
+| No log        | 10.0  | 310  | 3.3325          | 3.087  | 5.913   |
+| No log        | 11.0  | 341  | 3.3141          | 3.3511 | 5.9006  |
+| No log        | 12.0  | 372  | 3.2986          | 3.3511 | 5.8944  |
+| No log        | 13.0  | 403  | 3.2871          | 3.9871 | 5.8758  |
+| No log        | 14.0  | 434  | 3.2787          | 3.3083 | 5.882   |
+| No log        | 15.0  | 465  | 3.2738          | 3.3083 | 5.882   |
+| No log        | 16.0  | 496  | 3.2720          | 3.3083 | 5.882   |
 ### Framework versions