End of training

README.md

@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1005
+- Loss: 1.3380
 
 ## Model description
 
@@ -48,19 +48,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step  | Validation Loss |
 |:-------------:|:------:|:-----:|:---------------:|
-| 2.628         | 0.0766 | 5000  | 1.9111          |
-| 1.7546        | 0.1533 | 10000 | 1.6929          |
-| 1.6004        | 0.2299 | 15000 | 1.5822          |
-| 1.5131        | 0.3065 | 20000 | 1.5084          |
-| 1.4467        | 0.3832 | 25000 | 1.4519          |
-| 1.3917        | 0.4598 | 30000 | 1.4033          |
-| 1.3427        | 0.5365 | 35000 | 1.3530          |
-| 1.293         | 0.6131 | 40000 | 1.3065          |
-| 1.2472        | 0.6897 | 45000 | 1.2618          |
-| 1.2003        | 0.7664 | 50000 | 1.2165          |
-| 1.1583        | 0.8430 | 55000 | 1.1735          |
-| 1.1135        | 0.9196 | 60000 | 1.1337          |
-| 1.0763        | 0.9963 | 65000 | 1.1005          |
+| 2.7268        | 0.0766 | 5000  | 2.0903          |
+| 1.8879        | 0.1533 | 10000 | 1.8917          |
+| 1.736         | 0.2299 | 15000 | 1.7960          |
+| 1.6529        | 0.3065 | 20000 | 1.7344          |
+| 1.5904        | 0.3832 | 25000 | 1.6852          |
+| 1.5397        | 0.4598 | 30000 | 1.6280          |
+| 1.4955        | 0.5365 | 35000 | 1.5907          |
+| 1.4507        | 0.6131 | 40000 | 1.5538          |
+| 1.4103        | 0.6897 | 45000 | 1.5098          |
+| 1.3687        | 0.7664 | 50000 | 1.4685          |
+| 1.3315        | 0.8430 | 55000 | 1.4236          |
+| 1.2884        | 0.9196 | 60000 | 1.3930          |
+| 1.2449        | 0.9963 | 65000 | 1.3380          |
 
 
 ### Framework versions