Model save

README.md

@@ -1,64 +1,64 @@
----
-license: cc-by-nc-4.0
-base_model: MCG-NJU/videomae-base
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: videomae-base-finetuned-ucf101-subset
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# videomae-base-finetuned-ucf101-subset
-
-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: 0.3027
-- Accuracy: 0.9290
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- 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: 600
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.3081        | 0.25  | 150  | 1.0639          | 0.7143   |
-| 0.8783        | 1.25  | 300  | 0.6896          | 0.7143   |
-| 0.1599        | 2.25  | 450  | 0.6358          | 0.8      |
-| 0.4586        | 3.25  | 600  | 0.1403          | 0.9714   |
-
-
-### Framework versions
-
-- Transformers 4.42.4
-- Pytorch 2.0.1+cu118
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-ucf101-subset
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# videomae-base-finetuned-ucf101-subset
+
+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: 0.1841
+- Accuracy: 0.9419
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- 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: 600
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3469        | 0.25  | 150  | 1.1427          | 0.5857   |
+| 0.9358        | 1.25  | 300  | 0.5033          | 0.8      |
+| 0.2002        | 2.25  | 450  | 0.4554          | 0.8286   |
+| 0.4202        | 3.25  | 600  | 0.1951          | 0.9143   |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1
+- Datasets 2.20.0
+- Tokenizers 0.13.3

pytorch_model.bin

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