End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: cc-by-nc-4.0
-base_model: namnh2002/model_timesformer_subset_02
+base_model: facebook/timesformer-base-finetuned-k600
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # model_timesformer_subset_02
 
-This model is a fine-tuned version of [namnh2002/model_timesformer_subset_02](https://huggingface.co/namnh2002/model_timesformer_subset_02) on an unknown dataset.
+This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k600](https://huggingface.co/facebook/timesformer-base-finetuned-k600) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8445
-- Accuracy: 0.5395
+- Loss: 1.7125
+- Accuracy: 0.5446
 
 ## Model description
 
@@ -46,20 +46,24 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 2000
+- training_steps: 2997
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9537        | 0.12  | 250  | 1.6973          | 0.5245   |
-| 0.8751        | 1.12  | 500  | 1.7124          | 0.5345   |
-| 0.7491        | 2.12  | 750  | 1.7508          | 0.5365   |
-| 0.6867        | 3.12  | 1000 | 1.7845          | 0.5325   |
-| 0.5597        | 4.12  | 1250 | 1.8160          | 0.539    |
-| 0.4531        | 5.12  | 1500 | 1.8213          | 0.5455   |
-| 0.3253        | 6.12  | 1750 | 1.9083          | 0.5435   |
-| 0.3531        | 7.12  | 2000 | 1.8445          | 0.5395   |
+| 1.8295        | 0.08  | 250  | 1.9005          | 0.4684   |
+| 1.6577        | 1.08  | 500  | 1.7229          | 0.4908   |
+| 1.4384        | 2.08  | 750  | 1.6627          | 0.5172   |
+| 1.2867        | 3.08  | 1000 | 1.7071          | 0.5182   |
+| 1.0143        | 4.08  | 1250 | 1.6543          | 0.5381   |
+| 0.8775        | 5.08  | 1500 | 1.6755          | 0.5286   |
+| 0.9622        | 6.08  | 1750 | 1.6568          | 0.5401   |
+| 0.5627        | 7.08  | 2000 | 1.6966          | 0.5371   |
+| 0.6586        | 8.08  | 2250 | 1.6735          | 0.5531   |
+| 0.4577        | 9.08  | 2500 | 1.7446          | 0.5267   |
+| 0.4552        | 10.08 | 2750 | 1.7490          | 0.5371   |
+| 0.4488        | 11.08 | 2997 | 1.7125          | 0.5446   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:01d6747bc2c104e44085d23a8cc6cd8679a2e9a335a0469cf1a98065f59e28f2
+oid sha256:9716821aed8dcf30732362f613daa36cb8fb4f12d7635ce778ec97f3fb8e0d3e
 size 485127632

runs/Mar05_14-36-23_0758646c4f0b/events.out.tfevents.1709649466.0758646c4f0b.35.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1825dbd8acc38dc121898e60891cc45690b6bb9dc0968cfe2b4784d9afad224a
-size 72545
+oid sha256:39575d6c8674e84cf1a206edcfc7bc5bd1dfc7dc05147534ffca8f755b551a34
+size 72899