End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bigscience/mt0-large](https://huggingface.co/bigscience/mt0-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1193
+- Loss: 0.1217
 
 ## Model description
 
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.4946        | 1.0   | 157  | 1.1938          |
-| 1.2771        | 2.0   | 314  | 0.9693          |
-| 1.069         | 3.0   | 471  | 0.3696          |
-| 0.3066        | 4.0   | 628  | 0.1420          |
-| 0.2118        | 5.0   | 785  | 0.1193          |
+| 1.4956        | 1.0   | 157  | 1.1954          |
+| 1.2811        | 2.0   | 314  | 0.9735          |
+| 1.0748        | 3.0   | 471  | 0.3760          |
+| 0.3128        | 4.0   | 628  | 0.1451          |
+| 0.2162        | 5.0   | 785  | 0.1217          |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 55050280

training_args.bin

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 size 4283