End of training

README.md

@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mt5-small-task2-dataset2
 
-This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4462
-- Accuracy: 0.32
+- Loss: 0.4320
+- Accuracy: 0.37
 
 ## Model description
 
@@ -49,26 +49,25 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 6.6376        | 1.0   | 250  | 1.2577          | 0.004    |
-| 1.6709        | 2.0   | 500  | 0.8265          | 0.088    |
-| 1.0413        | 3.0   | 750  | 0.6782          | 0.144    |
-| 0.8324        | 4.0   | 1000 | 0.5901          | 0.222    |
-| 0.7187        | 5.0   | 1250 | 0.5476          | 0.246    |
-| 0.6556        | 6.0   | 1500 | 0.5215          | 0.276    |
-| 0.6089        | 7.0   | 1750 | 0.5028          | 0.274    |
-| 0.5736        | 8.0   | 2000 | 0.4930          | 0.304    |
-| 0.5385        | 9.0   | 2250 | 0.4695          | 0.296    |
-| 0.5195        | 10.0  | 2500 | 0.4650          | 0.304    |
-| 0.5073        | 11.0  | 2750 | 0.4571          | 0.304    |
-| 0.4895        | 12.0  | 3000 | 0.4491          | 0.306    |
-| 0.4836        | 13.0  | 3250 | 0.4495          | 0.316    |
-| 0.4745        | 14.0  | 3500 | 0.4460          | 0.318    |
-| 0.4736        | 15.0  | 3750 | 0.4462          | 0.32     |
+| 7.018         | 1.0   | 250  | 1.2234          | 0.014    |
+| 1.6684        | 2.0   | 500  | 0.8157          | 0.124    |
+| 1.0289        | 3.0   | 750  | 0.6527          | 0.222    |
+| 0.8021        | 4.0   | 1000 | 0.5877          | 0.282    |
+| 0.6964        | 5.0   | 1250 | 0.5360          | 0.3      |
+| 0.6252        | 6.0   | 1500 | 0.5118          | 0.32     |
+| 0.5828        | 7.0   | 1750 | 0.4899          | 0.318    |
+| 0.5436        | 8.0   | 2000 | 0.4718          | 0.35     |
+| 0.5232        | 9.0   | 2250 | 0.4625          | 0.34     |
+| 0.5005        | 10.0  | 2500 | 0.4556          | 0.342    |
+| 0.4789        | 11.0  | 2750 | 0.4436          | 0.356    |
+| 0.4733        | 12.0  | 3000 | 0.4379          | 0.356    |
+| 0.4651        | 13.0  | 3250 | 0.4347          | 0.366    |
+| 0.4591        | 14.0  | 3500 | 0.4320          | 0.37     |
+| 0.4508        | 15.0  | 3750 | 0.4320          | 0.37     |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.15.0
 - Tokenizers 0.15.0