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 [MCG-NJU/videomae-small-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-small-finetuned-kinetics) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1171
-- Accuracy: 0.9677
+- Loss: 0.4149
+- Accuracy: 0.9355
 
 ## Model description
 
@@ -38,27 +38,27 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 1
-- eval_batch_size: 1
+- 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: 1200
+- training_steps: 600
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7637        | 0.25  | 300  | 0.6597          | 0.9286   |
-| 0.512         | 1.25  | 600  | 0.2801          | 0.9143   |
-| 0.0404        | 2.25  | 900  | 0.4797          | 0.8571   |
-| 0.4026        | 3.25  | 1200 | 0.1202          | 0.9714   |
+| 1.0253        | 0.25  | 150  | 0.9132          | 0.9      |
+| 0.4108        | 1.25  | 300  | 0.3571          | 0.9857   |
+| 0.1051        | 2.25  | 450  | 0.3968          | 0.8714   |
+| 0.1796        | 3.25  | 600  | 0.1280          | 0.9857   |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.1.0+cu121
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

model.safetensors

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runs/Apr03_17-23-09_118d13ee98e3/events.out.tfevents.1712165670.118d13ee98e3.4733.1

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