Model save

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset](https://huggingface.co/sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4188
-- Accuracy: 0.8605
+- Loss: 0.6134
+- Accuracy: 0.8358
 
 ## Model description
 
@@ -38,20 +38,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 308
+- training_steps: 171
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4843        | 0.5   | 155  | 0.4956          | 0.8045   |
-| 0.532         | 1.5   | 308  | 0.4924          | 0.8045   |
+| 0.9407        | 0.33  | 57   | 0.7452          | 0.8022   |
+| 0.4492        | 1.33  | 114  | 0.8826          | 0.8022   |
+| 0.3679        | 2.33  | 171  | 0.7072          | 0.8022   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9296919fba88a98f35f4058324dbc3b3b076b5489ce54f14f0ad20aa07f62963
+oid sha256:5a3811144b39f2c84feffedb8487820ed67a0ea68d5d1518998cc617127c9a2f
 size 344937328

runs/Nov21_13-56-37_cff7a1672b7f/events.out.tfevents.1700575440.cff7a1672b7f.737.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d03a82f3a23b4ccfc70bee6f9097cfc751567e0049bf949fcfa18acadf21ce0
+size 411