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 [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.9226
+- Loss: 4.0833
 
 ## Model description
 
@@ -47,22 +47,22 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 7    | 26.6248         |
-| 32.1267       | 2.0   | 14   | 18.4799         |
-| 18.4028       | 3.0   | 21   | 9.9272          |
-| 18.4028       | 4.0   | 28   | 4.8353          |
-| 7.4967        | 5.0   | 35   | 4.4899          |
-| 4.8455        | 6.0   | 42   | 4.2977          |
-| 4.8455        | 7.0   | 49   | 4.1490          |
-| 4.4842        | 8.0   | 56   | 4.0375          |
-| 4.3206        | 9.0   | 63   | 3.9568          |
-| 4.1982        | 10.0  | 70   | 3.9226          |
+| No log        | 1.0   | 7    | 27.0397         |
+| 33.0333       | 2.0   | 14   | 18.4465         |
+| 18.4933       | 3.0   | 21   | 9.4768          |
+| 18.4933       | 4.0   | 28   | 5.0764          |
+| 7.5911        | 5.0   | 35   | 4.6019          |
+| 4.8876        | 6.0   | 42   | 4.4286          |
+| 4.8876        | 7.0   | 49   | 4.2941          |
+| 4.4966        | 8.0   | 56   | 4.1877          |
+| 4.3397        | 9.0   | 63   | 4.1130          |
+| 4.2611        | 10.0  | 70   | 4.0833          |
 
 
 ### Framework versions
 
 - PEFT 0.14.0
-- Transformers 4.48.2
+- Transformers 4.48.3
 - Pytorch 2.5.1+cu124
-- Datasets 3.2.0
+- Datasets 3.3.0
 - Tokenizers 0.21.0

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:562b5ce58956c29267bd1c05f8e0ceb1a541aaaf441ecb272df6c95e46017f4b
+oid sha256:03da65f62f9fa9f372816a7a11bc4bae3a796726e9e9be6d2e5c41f2d5f63c3f
 size 6655648