DazMashaly/swin-finetuned-food101

README.md

@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the zindi dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.2406
-- eval_accuracy: 0.7614
-- eval_runtime: 222.0281
-- eval_samples_per_second: 17.444
+- eval_loss: 0.7009
+- eval_accuracy: 0.7617
+- eval_runtime: 222.198
+- eval_samples_per_second: 17.43
 - eval_steps_per_second: 0.549
 - epoch: 1.0
 - step: 173

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c80dc8bc17ec55217de148f50a92ae382200c637454848cc8824196cfb39ffec
+oid sha256:55402489b7ca11c63891a4742b844ece6a9c896a1e75db1e5189c957568b9520
 size 780530556

runs/Jan13_13-16-20_2ba83b92b5c6/events.out.tfevents.1705151781.2ba83b92b5c6.4746.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cba03dbff1411c28b8acd06b8680088e7df80e48813adc741321e57e212f0d17
+size 7793

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:84cf817ac61e732cfa03a559c0d85529e5507635f42300d3f0e433b0352401f2
+oid sha256:f3271007f753503a3212ae172deafe2d945bb92045757b4bd9741e8605b35dd0
 size 4283