Training complete

README.md

@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 17.8785
-- Rouge1: 3.9305
-- Rouge2: 0.4293
-- Rougel: 3.82
-- Rougelsum: 3.8037
+- Loss: 16.9555
+- Rouge1: 5.3063
+- Rouge2: 0.3834
+- Rougel: 4.7129
+- Rougelsum: 4.769
 
 ## Model description
 
@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 32.4777       | 1.0   | 10   | 25.3500         | 4.3802 | 0.6591 | 4.2675 | 4.2475    |
-| 27.9251       | 2.0   | 20   | 21.6511         | 4.6739 | 1.2021 | 4.6067 | 4.5692    |
-| 26.5628       | 3.0   | 30   | 20.5428         | 4.6916 | 1.1508 | 4.5642 | 4.6407    |
-| 24.505        | 4.0   | 40   | 18.7937         | 4.1773 | 0.3385 | 4.0182 | 4.0615    |
-| 23.1436       | 5.0   | 50   | 18.3412         | 4.3078 | 0.3432 | 4.2093 | 4.2728    |
-| 22.6089       | 6.0   | 60   | 18.5093         | 3.5525 | 0.3453 | 3.484  | 3.4419    |
-| 23.8132       | 7.0   | 70   | 17.9128         | 3.8649 | 0.342  | 3.7392 | 3.7184    |
-| 22.3071       | 8.0   | 80   | 17.8785         | 3.9253 | 0.4131 | 3.7871 | 3.7766    |
+| 32.0529       | 1.0   | 10   | 22.9068         | 4.148  | 0.2063 | 4.0534 | 4.0281    |
+| 26.8483       | 2.0   | 20   | 20.5579         | 4.2091 | 0.2815 | 4.2287 | 4.2414    |
+| 26.3936       | 3.0   | 30   | 19.4139         | 4.199  | 0.2051 | 4.1823 | 4.1637    |
+| 24.8239       | 4.0   | 40   | 18.3165         | 4.2308 | 0.2812 | 4.2404 | 4.2749    |
+| 24.0505       | 5.0   | 50   | 17.3909         | 4.9556 | 0.486  | 4.6229 | 4.6138    |
+| 23.8294       | 6.0   | 60   | 17.0988         | 5.4206 | 0.5003 | 4.7981 | 4.7944    |
+| 22.7513       | 7.0   | 70   | 16.9862         | 5.3119 | 0.3966 | 4.814  | 4.7785    |
+| 22.836        | 8.0   | 80   | 16.9555         | 5.393  | 0.3829 | 4.7334 | 4.8031    |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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