Upload folder using huggingface_hub

results/output/output.txt

@@ -0,0 +1,15 @@
+PredictionOutput(predictions=(array([[ -1.281,  -8.46 ,  -8.35 , ..., -10.11 , -10.11 , -10.11 ],
+       [  1.835,  -8.47 ,  -8.75 , ...,  -9.95 ,  -9.95 ,  -9.95 ],
+       [ -4.906,  -9.09 ,  -9.625, ...,  -9.96 ,  -9.96 ,  -9.96 ],
+       ...,
+       [ -5.637,  -8.08 ,  -9.05 , ...,  -9.87 ,  -9.87 ,  -9.87 ],
+       [ -5.414,  -8.64 ,  -9.266, ...,  -9.945,  -9.945,  -9.945],
+       [ -5.59 ,  -8.24 ,  -9.125, ...,  -9.75 ,  -9.75 ,  -9.75 ]],
+      dtype=float16), array([[ -1.662,  -9.375,  -9.086, ..., -11.16 , -11.16 , -11.16 ],
+       [ -1.634,  -9.555,  -9.484, ..., -11.41 , -11.41 , -11.41 ],
+       [ -3.338, -10.516, -10.6  , ..., -11.445, -11.445, -11.445],
+       ...,
+       [ -4.11 ,  -9.72 ,  -9.87 , ..., -11.336, -11.336, -11.336],
+       [ -4.094, -10.15 ,  -9.58 , ..., -11.42 , -11.42 , -11.42 ],
+       [ -4.17 , -10.1  ,  -9.586, ..., -11.21 , -11.21 , -11.21 ]],
+      dtype=float16)), label_ids=(array([53, 39, 77, ..., 17, 14, 13]), array([53, 44, 81, ..., 16, 13, 12])), metrics={'test_loss': 0.7353683114051819, 'test_exact_match': 73.6344625679632, 'test_f1': 83.76177539279848, 'test_runtime': 328.0654, 'test_samples_per_second': 36.441, 'test_steps_per_second': 18.222})