End of training

README.md

@@ -4,6 +4,8 @@ license: mit
 base_model: google/vivit-b-16x2-kinetics400
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: vivit-b-16x2-kinetics400-finetuned-cricket_shot_detection_NEW_1
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # vivit-b-16x2-kinetics400-finetuned-cricket_shot_detection_NEW_1
 
 This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5183
+- Accuracy: 0.8333
 
 ## Model description
 
@@ -41,6 +46,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - training_steps: 5800
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.6322        | 0.1207 | 700  | 0.5183          | 0.8333   |
+| 0.1859        | 1.1207 | 1400 | 0.6102          | 0.7222   |
+| 0.047         | 2.1207 | 2100 | 0.4966          | 0.8333   |
+| 0.1622        | 3.1207 | 2800 | 0.7591          | 0.8333   |
+
+
 ### Framework versions
 
 - Transformers 4.47.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e881308449aead0d73831000e7b82e0b6d1bce358c8e2e2b7ab5956ca294887d
+oid sha256:4d5a1b64be5efec9574cd6053217a9bf5caacbf76269beb1fb40f38d4900f7b3
 size 354627680

runs/Jan07_20-03-02_5fdc108cd364/events.out.tfevents.1736285305.5fdc108cd364.1215.6

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5488122eb52c1d2e7dba1d52f3b0480f0a027671cffb08bc546456e31a8ce25b
+size 411