End of training

README.md

@@ -6,19 +6,19 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: my_awesome_food_model
+- name: pizza-or-not-pizza-model
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# my_awesome_food_model
+# pizza-or-not-pizza-model
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2775
-- Accuracy: 0.9503
+- Loss: 0.4695
+- Accuracy: 0.8242
 
 ## Model description
 
@@ -52,12 +52,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4461        | 1.0   | 19   | 0.2775          | 0.9503   |
+| 0.6051        | 1.0   | 16   | 0.4695          | 0.8242   |
 
 
 ### Framework versions
 
 - Transformers 4.37.2
-- Pytorch 2.2.0+cpu
-- Datasets 2.16.1
-- Tokenizers 0.15.1
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1628afacc4739642e4124b73fd38a08d7eb979acfb016b21111fe4fae803b15c
+oid sha256:69b415812b3d223e6cde3b0a315eb9f5f77664b2e68cbc1d1416419dd2a8a0f1
 size 343223968

runs/Feb16_09-22-16_39d0e66858ca/events.out.tfevents.1708075337.39d0e66858ca.5269.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e123424ccc09cb8f3dcc05c4ecfd99e7b8cff48facc84eac0462596284d2b2a
+size 5076

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c0a59ae50d0478ee124339f35d028b7015677aa2efa2fd916e48ad5d75cc61f
+oid sha256:ca2e8b7a3368ef41a8ba6e87b762cd5d2332a40666b35ba5797de7151e0b45ac
 size 4728