End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google/mt5-base
+base_model: google/mt5-small
 tags:
 - generated_from_trainer
 metrics:
@@ -17,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mT5_base
 
-This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
+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: 0.1703
-- Bleu Score: 51.176
-- Precision: 27.4791
-- Recall: 27.4791
-- Gen Len: 16.8805
-- Err: 27.4791
+- Loss: 0.4030
+- Bleu Score: 45.1405
+- Precision: 13.3811
+- Recall: 13.3811
+- Gen Len: 16.8196
+- Err: 13.3811
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall  | Gen Len | Err     |
 |:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:-------:|:-------:|:-------:|
-| 1.3269        | 1.0   | 838  | 0.2396          | 48.4521    | 20.7885   | 20.7885 | 16.8339 | 20.7885 |
-| 0.2831        | 2.0   | 1676 | 0.1861          | 50.5118    | 26.1649   | 26.1649 | 16.8781 | 26.1649 |
-| 0.2167        | 3.0   | 2514 | 0.1703          | 51.176     | 27.4791   | 27.4791 | 16.8805 | 27.4791 |
+| 2.8374        | 1.0   | 838  | 0.5595          | 41.3763    | 7.1685    | 7.1685  | 16.7802 | 7.1685  |
+| 0.7564        | 2.0   | 1676 | 0.4503          | 44.4878    | 12.0669   | 12.0669 | 16.8124 | 12.0669 |
+| 0.6103        | 3.0   | 2514 | 0.4030          | 45.1405    | 13.3811   | 13.3811 | 16.8196 | 13.3811 |
 
 
 ### Framework versions

logs/events.out.tfevents.1727601218.5a76963310a4.2696.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6659
+oid sha256:c5fc12571128d444541ece2a5deed0e0d9ad992fdd52ae3a3eb3f542affd9905
+size 7750