Model save

README.md

@@ -3,8 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: timm/resnet18.a1_in1k
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -18,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans
 
-This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on the beans dataset.
+This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7389
-- Accuracy: 0.8045
+- Loss: 0.7380
+- Accuracy: 0.8195
 
 ## Model description
 
@@ -52,21 +50,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0863        | 1.0   | 130  | 1.0882          | 0.4286   |
-| 1.063         | 2.0   | 260  | 1.0590          | 0.5414   |
-| 1.0447        | 3.0   | 390  | 1.0229          | 0.6992   |
-| 1.0223        | 4.0   | 520  | 0.9968          | 0.6917   |
-| 1.0           | 5.0   | 650  | 0.9575          | 0.7519   |
-| 0.9726        | 6.0   | 780  | 0.9298          | 0.7744   |
-| 0.9258        | 7.0   | 910  | 0.8871          | 0.8045   |
-| 0.9203        | 8.0   | 1040 | 0.8487          | 0.8346   |
-| 0.9038        | 9.0   | 1170 | 0.8330          | 0.8120   |
-| 0.8112        | 10.0  | 1300 | 0.8084          | 0.8346   |
-| 0.8335        | 11.0  | 1430 | 0.7785          | 0.8346   |
-| 0.8062        | 12.0  | 1560 | 0.7569          | 0.8346   |
-| 0.8141        | 13.0  | 1690 | 0.7536          | 0.8496   |
-| 0.8172        | 14.0  | 1820 | 0.7532          | 0.8271   |
-| 0.7896        | 15.0  | 1950 | 0.7389          | 0.8045   |
+| 1.0861        | 1.0   | 130  | 1.0881          | 0.4286   |
+| 1.0631        | 2.0   | 260  | 1.0597          | 0.5414   |
+| 1.0443        | 3.0   | 390  | 1.0225          | 0.6692   |
+| 1.0218        | 4.0   | 520  | 0.9960          | 0.6842   |
+| 1.0028        | 5.0   | 650  | 0.9568          | 0.7293   |
+| 0.9752        | 6.0   | 780  | 0.9279          | 0.7669   |
+| 0.924         | 7.0   | 910  | 0.8852          | 0.8045   |
+| 0.9179        | 8.0   | 1040 | 0.8505          | 0.8120   |
+| 0.9           | 9.0   | 1170 | 0.8328          | 0.8045   |
+| 0.8084        | 10.0  | 1300 | 0.8071          | 0.8421   |
+| 0.8306        | 11.0  | 1430 | 0.7760          | 0.8346   |
+| 0.8031        | 12.0  | 1560 | 0.7563          | 0.8346   |
+| 0.8138        | 13.0  | 1690 | 0.7534          | 0.8421   |
+| 0.8178        | 14.0  | 1820 | 0.7508          | 0.8271   |
+| 0.7901        | 15.0  | 1950 | 0.7380          | 0.8195   |
 
 
 ### Framework versions

emissions.csv

@@ -1,2 +1,2 @@
 timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
-2024-11-05T18:39:47,c95ff675-0408-4a17-964e-333ceb17b457,codecarbon,150.39437413215637,0.001963739812128759,0.005319850790787105,United States,USA,virginia,N,,
+2024-11-19T21:30:14,755bbb60-c220-4645-b6ef-6052b62dc3d4,codecarbon,138.7698619365692,0.0017126449757406481,0.004639624695827094,United States,USA,virginia,N,,

runs/Nov19_21-27-50_ip-10-90-1-182/events.out.tfevents.1732051674.ip-10-90-1-182.3342435.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:92090895357b5f5229426ded3a6cec139d922b34473ead7cf7a6faf0b87d34eb
-size 51214
+oid sha256:f9f8de9e07547139c9cd5abf059e38eea136e9c81626c37cd9c179456e55bba4
+size 51891