Model save

README.md

@@ -3,6 +3,8 @@ license: cc-by-nc-4.0
 base_model: MCG-NJU/videomae-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: videomae-base-finetuned-ucf101-subset
   results: []
@@ -15,13 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 27.2694
-- eval_accuracy: 0.0903
-- eval_runtime: 28.2203
-- eval_samples_per_second: 5.493
-- eval_steps_per_second: 1.382
-- epoch: 0
-- step: 0
+- Loss: 0.5781
+- Accuracy: 0.7742
 
 ## Model description
 
@@ -49,6 +46,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - training_steps: 300
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.8832        | 0.25  | 75   | 1.5556          | 0.6429   |
+| 0.9517        | 1.25  | 150  | 0.6312          | 0.8      |
+| 0.3181        | 2.25  | 225  | 0.4654          | 0.8143   |
+| 0.1388        | 3.25  | 300  | 0.4881          | 0.8143   |
+
+
 ### Framework versions
 
 - Transformers 4.39.3

model.safetensors

@@ -1,3 +1,3 @@
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 size 344961984

runs/Apr14_11-06-53_9956073020eb/events.out.tfevents.1713093331.9956073020eb.485.1

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+size 411