End of training

README.md

@@ -20,11 +20,11 @@ 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:
-- Loss: 1.9722
-- Accuracy: 0.3269
-- F1: 0.2716
-- Precision: 0.3970
-- Recall: 0.3277
+- Loss: 0.1392
+- Accuracy: 0.9681
+- F1: 0.9680
+- Precision: 0.9692
+- Recall: 0.9678
 
 ## Model description
 
@@ -43,23 +43,31 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-06
+- learning_rate: 5e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - 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: 2816
+- training_steps: 6756
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 2.2279        | 0.2504 | 705  | 2.2645          | 0.1824   | 0.1262 | 0.2559    | 0.1792 |
-| 1.7024        | 1.25   | 1409 | 2.0462          | 0.3167   | 0.2828 | 0.3354    | 0.3152 |
-| 1.3164        | 2.25   | 2113 | 1.9759          | 0.3081   | 0.2568 | 0.3022    | 0.3085 |
-| 1.3877        | 3.2496 | 2816 | 1.9641          | 0.3373   | 0.2839 | 0.3031    | 0.3367 |
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.3906        | 0.0833  | 563  | 1.2362          | 0.5628   | 0.5561 | 0.6171    | 0.5623 |
+| 0.7242        | 1.0833  | 1126 | 0.8677          | 0.6867   | 0.6787 | 0.7247    | 0.6847 |
+| 0.5625        | 2.0833  | 1689 | 0.6211          | 0.7883   | 0.7865 | 0.8163    | 0.7871 |
+| 0.5111        | 3.0833  | 2252 | 0.4169          | 0.8623   | 0.8621 | 0.8814    | 0.8631 |
+| 0.1224        | 4.0833  | 2815 | 0.2908          | 0.9036   | 0.9030 | 0.9077    | 0.9038 |
+| 0.0561        | 5.0833  | 3378 | 0.2836          | 0.9208   | 0.9207 | 0.9252    | 0.9210 |
+| 0.0028        | 6.0833  | 3941 | 0.2256          | 0.9466   | 0.9470 | 0.9488    | 0.9471 |
+| 0.0009        | 7.0833  | 4504 | 0.1670          | 0.9673   | 0.9676 | 0.9702    | 0.9665 |
+| 0.0336        | 8.0833  | 5067 | 0.1362          | 0.9656   | 0.9656 | 0.9674    | 0.9650 |
+| 0.0004        | 9.0833  | 5630 | 0.1192          | 0.9776   | 0.9778 | 0.9793    | 0.9771 |
+| 0.0004        | 10.0833 | 6193 | 0.1204          | 0.9725   | 0.9725 | 0.9745    | 0.9719 |
+| 0.0003        | 11.0833 | 6756 | 0.1268          | 0.9725   | 0.9723 | 0.9738    | 0.9719 |
 
 
 ### Framework versions

model.safetensors

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 size 344965060

runs/May03_18-51-39_blackhorse/events.out.tfevents.1714789470.blackhorse.6448.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fe1524e866c59f84cec75bcbc57d66aaee29ca634f9ee1d4354cdfb95697c817
+size 560