facial-expression-recognition-ferplus

README.md

@@ -3,26 +3,11 @@ library_name: transformers
 base_model: carlosleao/vit-Facial-Expression-Recognition
 tags:
 - generated_from_trainer
-datasets:
-- imagefolder
 metrics:
 - accuracy
 model-index:
 - name: vit-Facial-Expression-Recognition
-  results:
-  - task:
-      name: Image Classification
-      type: image-classification
-    dataset:
-      name: imagefolder
-      type: imagefolder
-      config: default
-      split: test
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.789064300530076
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-Facial-Expression-Recognition
 
-This model is a fine-tuned version of [carlosleao/vit-Facial-Expression-Recognition](https://huggingface.co/carlosleao/vit-Facial-Expression-Recognition) on the imagefolder dataset.
+This model is a fine-tuned version of [carlosleao/vit-Facial-Expression-Recognition](https://huggingface.co/carlosleao/vit-Facial-Expression-Recognition) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6250
-- Accuracy: 0.7891
+- Loss: 1.5324
+- Accuracy: 0.4661
 
 ## Model description
 
@@ -67,42 +52,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.6718        | 0.2753 | 100  | 1.5767          | 0.5306   |
-| 1.1709        | 0.5506 | 200  | 1.2371          | 0.6482   |
-| 0.9479        | 0.8259 | 300  | 1.1168          | 0.6897   |
-| 0.8293        | 1.1012 | 400  | 1.0489          | 0.6954   |
-| 0.7735        | 1.3765 | 500  | 0.9967          | 0.7021   |
-| 0.7132        | 1.6518 | 600  | 0.9411          | 0.7188   |
-| 0.6777        | 1.9270 | 700  | 0.9154          | 0.7236   |
-| 0.6216        | 2.2023 | 800  | 0.8650          | 0.7359   |
-| 0.5866        | 2.4776 | 900  | 0.8482          | 0.7344   |
-| 0.5725        | 2.7529 | 1000 | 0.7778          | 0.7487   |
-| 0.5442        | 3.0282 | 1100 | 0.8053          | 0.7383   |
-| 0.4893        | 3.3035 | 1200 | 0.7572          | 0.7531   |
-| 0.4852        | 3.5788 | 1300 | 0.7322          | 0.7588   |
-| 0.4862        | 3.8541 | 1400 | 0.6850          | 0.7734   |
-| 0.4203        | 4.1294 | 1500 | 0.7032          | 0.7612   |
-| 0.4037        | 4.4047 | 1600 | 0.6758          | 0.7670   |
-| 0.4214        | 4.6800 | 1700 | 0.6657          | 0.7732   |
-| 0.4166        | 4.9553 | 1800 | 0.6488          | 0.7788   |
-| 0.3437        | 5.2306 | 1900 | 0.6573          | 0.7754   |
-| 0.3488        | 5.5058 | 2000 | 0.6713          | 0.7695   |
-| 0.3355        | 5.7811 | 2100 | 0.6249          | 0.7853   |
-| 0.3187        | 6.0564 | 2200 | 0.6679          | 0.7715   |
-| 0.2765        | 6.3317 | 2300 | 0.6246          | 0.7872   |
-| 0.2853        | 6.6070 | 2400 | 0.6376          | 0.7830   |
-| 0.2755        | 6.8823 | 2500 | 0.6349          | 0.7813   |
-| 0.2428        | 7.1576 | 2600 | 0.6273          | 0.7860   |
-| 0.2351        | 7.4329 | 2700 | 0.6427          | 0.7804   |
-| 0.2391        | 7.7082 | 2800 | 0.6380          | 0.7827   |
-| 0.2421        | 7.9835 | 2900 | 0.6283          | 0.7868   |
-| 0.2097        | 8.2588 | 3000 | 0.6250          | 0.7891   |
-| 0.2179        | 8.5341 | 3100 | 0.6386          | 0.7863   |
-| 0.214         | 8.8094 | 3200 | 0.6360          | 0.7854   |
-| 0.205         | 9.0847 | 3300 | 0.6244          | 0.7918   |
-| 0.2029        | 9.3599 | 3400 | 0.6333          | 0.7875   |
-| 0.1995        | 9.6352 | 3500 | 0.6340          | 0.7872   |
-| 0.1999        | 9.9105 | 3600 | 0.6332          | 0.7877   |
+| 1.8118        | 0.8959 | 100  | 1.7186          | 0.3764   |
+| 1.6033        | 1.7917 | 200  | 1.5911          | 0.4088   |
+| 1.5483        | 2.6876 | 300  | 1.5577          | 0.4043   |
+| 1.516         | 3.5834 | 400  | 1.5156          | 0.4476   |
+| 1.4477        | 4.4793 | 500  | 1.4922          | 0.4504   |
+| 1.406         | 5.3751 | 600  | 1.4979          | 0.4409   |
+| 1.3453        | 6.2710 | 700  | 1.4768          | 0.4624   |
+| 1.268         | 7.1669 | 800  | 1.4816          | 0.4602   |
+| 1.2326        | 8.0627 | 900  | 1.6040          | 0.4127   |
+| 1.1273        | 8.9586 | 1000 | 1.5324          | 0.4661   |
+| 0.937         | 9.8544 | 1100 | 1.6156          | 0.4367   |
 
 
 ### Framework versions

all_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 9.993117687543014,
-    "eval_accuracy": 0.789064300530076,
-    "eval_loss": 0.6250218152999878,
-    "eval_runtime": 811.3981,
-    "eval_samples_per_second": 21.39,
-    "eval_steps_per_second": 0.669
+    "epoch": 9.944008958566629,
+    "eval_accuracy": 0.4660519698239732,
+    "eval_loss": 1.5323501825332642,
+    "eval_runtime": 25.4534,
+    "eval_samples_per_second": 140.61,
+    "eval_steps_per_second": 4.4
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 9.993117687543014,
-    "eval_accuracy": 0.789064300530076,
-    "eval_loss": 0.6250218152999878,
-    "eval_runtime": 811.3981,
-    "eval_samples_per_second": 21.39,
-    "eval_steps_per_second": 0.669
+    "epoch": 9.944008958566629,
+    "eval_accuracy": 0.4660519698239732,
+    "eval_loss": 1.5323501825332642,
+    "eval_runtime": 25.4534,
+    "eval_samples_per_second": 140.61,
+    "eval_steps_per_second": 4.4
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4ec82f7a833b31d4c2864075ada8d677b195b8c9afc2e1cba87890e57080687
+oid sha256:be9a3ff62be0b4e6e96fc8202b99e746e213bccbf14a0398a91eed4a85c67e4b
 size 343242432