End of training

README.md

@@ -14,6 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 # videomae-base-readminds-assignment
 
 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:
+- Loss: 1.5827
 
 ## Model description
 
@@ -34,7 +36,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
 - train_batch_size: 2
-- eval_batch_size: 8
+- eval_batch_size: 2
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
@@ -43,6 +45,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5236        | 0.12  | 12   | 1.4575          |
+| 1.1957        | 1.12  | 24   | 1.4403          |
+| 0.7669        | 2.12  | 36   | 1.4573          |
+| 0.4632        | 3.12  | 48   | 1.5034          |
+| 0.299         | 4.12  | 60   | 1.5987          |
+| 0.1672        | 5.12  | 72   | 1.5975          |
+| 0.0682        | 6.12  | 84   | 1.5670          |
+| 0.0324        | 7.12  | 96   | 1.5827          |
+| 0.0155        | 8.04  | 100  | 1.5827          |
 
 
 ### Framework versions