Model save

README.md

@@ -1,6 +1,10 @@
 ---
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
 model-index:
 - name: mvit_v2_rwf-2000
   results: []
@@ -12,6 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 # mvit_v2_rwf-2000
 
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3667
+- Accuracy: 0.9313
+- F1: 0.9312
+- Precision: 0.9313
 
 ## Model description
 
@@ -38,6 +47,18 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - training_steps: 1520
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
+| 0.4242        | 0.125 | 190  | 0.4227          | 0.8375   | 0.8366 | 0.8453    |
+| 0.3906        | 1.125 | 380  | 0.2933          | 0.9      | 0.8999 | 0.9010    |
+| 0.3199        | 2.125 | 570  | 0.3034          | 0.9313   | 0.9312 | 0.9313    |
+| 0.2239        | 3.125 | 760  | 0.3611          | 0.9125   | 0.9124 | 0.9135    |
+| 0.1747        | 4.125 | 950  | 0.3475          | 0.9313   | 0.9312 | 0.9313    |
+| 0.1702        | 5.125 | 1140 | 0.3667          | 0.9313   | 0.9312 | 0.9313    |
+
+
 ### Framework versions
 
 - Transformers 4.44.0

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:972bbdbde11b339534f486b84f0cde825d860cc8f35f440929160328b5262ed2
 size 138398224