Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9297368421052632
+      value: 0.9294736842105263
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [saattrupdan/job-listing-relevance-model](https://huggingface.co/saattrupdan/job-listing-relevance-model) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9297
+- accuracy: 0.9295
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2637   | None       | 0     |
-| 0.9126   | 0.3332     | 0     |
-| 0.9192   | 0.2674     | 1     |
-| 0.9283   | 0.2364     | 2     |
-| 0.9297   | 0.2215     | 3     |
+| 0.2307   | None       | 0     |
+| 0.9142   | 0.3301     | 0     |
+| 0.92     | 0.2634     | 1     |
+| 0.9288   | 0.2343     | 2     |
+| 0.9295   | 0.2175     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4d863d5e182a9bd6d9a06b64317bcabc98d88e28df0ecbbcf8e11177df9e5cf3
+oid sha256:9f86470a049cce866f100eec02377a240d04fc9cf3b9d2137011485b3af25049
 size 2529464