Upload results/output with huggingface_hub

results/output/output.txt

@@ -1,10 +1,10 @@
-PredictionOutput(predictions=array([[ 5.507274 , -1.1173773, -3.5237665],
-       [ 6.1116924, -2.148943 , -3.0846086],
-       [ 5.9602175, -1.839682 , -3.2431016],
+PredictionOutput(predictions=array([[ 4.2543793, -1.7285742, -2.702447 ],
+       [ 4.474608 , -2.2277231, -2.4429996],
+       [ 4.830676 , -2.3748631, -2.7308738],
        ...,
-       [-1.3291765,  4.9852953, -3.9814384],
-       [-3.6927154,  5.9287157, -3.0078795],
-       [-3.7368712,  5.9108796, -3.047777 ]], dtype=float32), label_ids=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+       [-0.6995563,  3.5875108, -3.0166945],
+       [-2.60637  ,  5.0094075, -2.639662 ],
+       [-2.418723 ,  5.124211 , -3.1404445]], dtype=float32), label_ids=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
@@ -42,4 +42,4 @@ PredictionOutput(predictions=array([[ 5.507274 , -1.1173773, -3.5237665],
        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
-       1, 1, 1, 1, 1, 1, 1, 1]), metrics={'test_loss': 0.1303521692752838, 'test_accuracy': 0.976303317535545, 'test_f1': 0.9763027852650495, 'test_runtime': 21.4481, 'test_samples_per_second': 39.351, 'test_steps_per_second': 4.942})
+       1, 1, 1, 1, 1, 1, 1, 1]), metrics={'test_loss': 0.11077939718961716, 'test_accuracy': 0.9786729857819905, 'test_f1': 0.9786719079039731, 'test_runtime': 19.4329, 'test_samples_per_second': 43.431, 'test_steps_per_second': 5.455})