Model save

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: ai-forever/ruT5-large
+base_model: ai-forever/ruT5-base
 tags:
 - generated_from_trainer
 metrics:
@@ -14,14 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # skilltext
 
-This model is a fine-tuned version of [ai-forever/ruT5-large](https://huggingface.co/ai-forever/ruT5-large) on the None dataset.
+This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7356
-- Rouge1: 35.3935
-- Rouge2: 23.0684
-- Rougel: 33.9649
-- Rougelsum: 34.1374
-- Gen Len: 18.75
+- Loss: 1.0577
+- Rouge1: 30.9205
+- Rouge2: 11.9258
+- Rougel: 26.6497
+- Rougelsum: 26.4407
+- Gen Len: 18.6875
 
 ## Model description
 
@@ -53,18 +53,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| No log        | 1.6129  | 50   | 1.1474          | 27.4595 | 14.7139 | 24.8443 | 24.9381   | 18.75   |
-| No log        | 3.2258  | 100  | 0.8913          | 28.9798 | 19.2443 | 28.6604 | 28.4206   | 18.75   |
-| No log        | 4.8387  | 150  | 0.8489          | 35.3714 | 27.2748 | 34.0979 | 34.3062   | 18.8125 |
-| No log        | 6.4516  | 200  | 0.7617          | 32.5432 | 19.8669 | 31.8295 | 32.0548   | 18.8125 |
-| No log        | 8.0645  | 250  | 0.7298          | 28.0087 | 20.6388 | 27.8426 | 27.5811   | 18.8125 |
-| No log        | 9.6774  | 300  | 0.7358          | 32.2062 | 23.9565 | 32.1268 | 31.9668   | 18.6875 |
-| No log        | 11.2903 | 350  | 0.7243          | 31.7139 | 20.0396 | 30.9833 | 31.1632   | 18.75   |
-| No log        | 12.9032 | 400  | 0.7151          | 31.9717 | 20.5954 | 31.2615 | 31.3954   | 18.875  |
-| No log        | 14.5161 | 450  | 0.7560          | 35.3832 | 22.6591 | 34.7474 | 34.8568   | 18.8125 |
-| 0.984         | 16.1290 | 500  | 0.7420          | 34.5807 | 22.2544 | 33.2432 | 33.2304   | 18.8125 |
-| 0.984         | 17.7419 | 550  | 0.7399          | 34.702  | 23.2371 | 34.1402 | 34.3177   | 18.75   |
-| 0.984         | 19.3548 | 600  | 0.7356          | 35.3935 | 23.0684 | 33.9649 | 34.1374   | 18.75   |
+| No log        | 1.6129  | 50   | 1.8405          | 16.798  | 2.7473  | 15.7599 | 15.6863   | 19.0    |
+| No log        | 3.2258  | 100  | 1.4606          | 19.3942 | 7.4911  | 18.9911 | 18.8407   | 18.875  |
+| No log        | 4.8387  | 150  | 1.3583          | 27.0146 | 13.8805 | 24.3188 | 24.2122   | 18.6875 |
+| No log        | 6.4516  | 200  | 1.2490          | 32.855  | 15.9819 | 31.0776 | 30.8624   | 18.75   |
+| No log        | 8.0645  | 250  | 1.1590          | 30.3762 | 11.8253 | 27.5559 | 27.2332   | 18.5625 |
+| No log        | 9.6774  | 300  | 1.1469          | 37.2275 | 17.107  | 33.4177 | 33.3688   | 18.4375 |
+| No log        | 11.2903 | 350  | 1.1364          | 34.3596 | 15.6845 | 30.8838 | 31.0842   | 18.625  |
+| No log        | 12.9032 | 400  | 1.0927          | 34.9322 | 15.8027 | 30.2917 | 30.1379   | 18.6875 |
+| No log        | 14.5161 | 450  | 1.0672          | 32.2753 | 15.7727 | 28.1883 | 27.8978   | 18.6875 |
+| 1.8948        | 16.1290 | 500  | 1.0721          | 37.6573 | 15.6507 | 32.7817 | 32.742    | 18.5625 |
+| 1.8948        | 17.7419 | 550  | 1.0692          | 34.958  | 15.3422 | 30.4656 | 30.3306   | 18.5    |
+| 1.8948        | 19.3548 | 600  | 1.0577          | 30.9205 | 11.9258 | 26.6497 | 26.4407   | 18.6875 |
 
 
 ### Framework versions