test_model_new_22

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7968
-- Accuracy: 0.5966
+- Loss: 0.6526
+- Accuracy: 0.7191
 
 ## Model description
 
@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 209  | 0.7968          | 0.5966   |
+| No log        | 1.0   | 209  | 0.6526          | 0.7191   |
 
 
 ### Framework versions

runs/Apr22_17-10-32_flycatch-Modern-15-B11M/events.out.tfevents.1713786221.flycatch-Modern-15-B11M.15454.1

@@ -0,0 +1,3 @@
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+size 411