End of training

README.md

@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5814
-- Accuracy: 0.802
-- F1: 0.802
-- Mse: 0.42
-- Mae: 0.272
+- Loss: 0.4959
+- Accuracy: 0.798
+- F1: 0.798
+- Mse: 0.4
+- Mae: 0.268
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:679159fe410f986098d8b937f744c00d3af68821349c239a37b262656227eee6
+oid sha256:44d07d2d0a5c3c795c4dd245f909fb5b465bd67538e2de105e7a8333be558afd
 size 267835644

runs/Jul29_03-51-10_e415112a0b85/events.out.tfevents.1722225073.e415112a0b85.2162.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1e1be0171084f7f2c48e24e430fd2a20bd227c25b9f214c17db3aa80e8adda12
-size 4184
+oid sha256:36b87e6323c1114e2d7cc72a88a2063320374756b000a3d57e6b3222222ef3c0
+size 5565

runs/Jul29_03-51-10_e415112a0b85/events.out.tfevents.1722225219.e415112a0b85.2162.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:18566ba444b64a334566517dc2bcd05eba93d24c0d50d67aa55a70b94583c009
+size 551