End of training

README.md

@@ -6,22 +6,22 @@ tags:
 metrics:
 - rouge
 model-index:
-- name: mt5-small-dataset2
+- name: mt5-small-task1-dataset2
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# mt5-small-dataset2
+# mt5-small-task1-dataset2
 
 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: 1.5680
-- Rouge1: 0.556
-- Rouge2: 0.2002
-- Rougel: 0.5256
-- Rougelsum: 0.5248
+- Loss: 0.5493
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
 
 ## Model description
 
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 4.4723        | 1.0   | 500  | 2.1274          | 0.3988 | 0.082  | 0.373  | 0.3729    |
-| 2.2471        | 2.0   | 1000 | 1.8718          | 0.4855 | 0.1556 | 0.4623 | 0.4617    |
-| 2.0198        | 3.0   | 1500 | 1.7499          | 0.5365 | 0.1946 | 0.5122 | 0.5112    |
-| 1.8858        | 4.0   | 2000 | 1.6731          | 0.5431 | 0.1957 | 0.5179 | 0.5174    |
-| 1.803         | 5.0   | 2500 | 1.6180          | 0.5562 | 0.2093 | 0.5296 | 0.5294    |
-| 1.7344        | 6.0   | 3000 | 1.5948          | 0.5561 | 0.2008 | 0.5254 | 0.5249    |
-| 1.7034        | 7.0   | 3500 | 1.5644          | 0.5608 | 0.2069 | 0.5314 | 0.5305    |
-| 1.6794        | 8.0   | 4000 | 1.5680          | 0.556  | 0.2002 | 0.5256 | 0.5248    |
+| 3.4035        | 1.0   | 500  | 0.9806          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 1.049         | 2.0   | 1000 | 0.7479          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.8222        | 3.0   | 1500 | 0.6804          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.7272        | 4.0   | 2000 | 0.6246          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.6758        | 5.0   | 2500 | 0.5872          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.6367        | 6.0   | 3000 | 0.5728          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.6214        | 7.0   | 3500 | 0.5567          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.6107        | 8.0   | 4000 | 0.5493          | 0.0    | 0.0    | 0.0    | 0.0       |
 
 
 ### Framework versions