namnh2002
/

model_timesformer_subset_02

@@ -1,6 +1,6 @@
 ---
 license: cc-by-nc-4.0
-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 [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: 1.7125
-- Accuracy: 0.5446
 ## Model description
@@ -41,29 +41,27 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 2997
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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

 ---
 license: cc-by-nc-4.0
+base_model: namnh2002/model_timesformer_subset_02
 tags:
 - generated_from_trainer
 metrics:
 # 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.
 It achieves the following results on the evaluation set:
+- Loss: 0.4130
+- Accuracy: 0.8852
 ## Model description
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
+- training_steps: 6250
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9368        | 0.1   | 625  | 1.8302          | 0.5026   |
+| 0.9936        | 1.1   | 1250 | 1.3368          | 0.6081   |
+| 0.9407        | 2.1   | 1875 | 1.1348          | 0.6794   |
+| 0.8338        | 3.1   | 2500 | 0.9604          | 0.7270   |
+| 0.629         | 4.1   | 3125 | 0.7775          | 0.7684   |
+| 0.4094        | 5.1   | 3750 | 0.6939          | 0.8056   |
+| 0.398         | 6.1   | 4375 | 0.5883          | 0.8366   |
+| 0.3242        | 7.1   | 5000 | 0.4594          | 0.8707   |
+| 0.2768        | 8.1   | 5625 | 0.5158          | 0.8604   |
+| 0.2571        | 9.1   | 6250 | 0.4130          | 0.8852   |
 ### Framework versions

runs/Mar06_11-47-26_5fdb199fdd95/events.out.tfevents.1709725659.5fdb199fdd95.34.2 CHANGED Viewed

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