Model save

README.md

@@ -3,9 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- medical-imaging
-- chest-xray
-- tumor-detection
 - generated_from_trainer
 metrics:
 - accuracy
@@ -19,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-xray-tumor
 
-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 chest-xray-tumor dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3043
-- Accuracy: 0.9574
+- Loss: 0.2761
+- Accuracy: 0.9595
 
 ## Model description
 
@@ -54,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 0.5275        | 3.6765  | 125  | 0.2993          | 0.9606   |
-| 0.5129        | 7.3529  | 250  | 0.2824          | 0.9606   |
-| 0.4798        | 11.0294 | 375  | 0.2860          | 0.9606   |
-| 0.447         | 14.7059 | 500  | 0.2799          | 0.9606   |
-| 0.4283        | 18.3824 | 625  | 0.2707          | 0.9606   |
+| 0.5283        | 3.6765  | 125  | 0.2948          | 0.9606   |
+| 0.516         | 7.3529  | 250  | 0.2843          | 0.9601   |
+| 0.4878        | 11.0294 | 375  | 0.2756          | 0.9601   |
+| 0.459         | 14.7059 | 500  | 0.2801          | 0.9601   |
+| 0.4462        | 18.3824 | 625  | 0.2761          | 0.9595   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:041448991ded4a8dfbd56250eb00f6e0ffe719e86aff1dcaef0ed251d89cfb49
+oid sha256:e4a01864bcb2c89cb2b43a16fc9df620e5fa9c01de7246088a3d8de9dfec9146
 size 343223968