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End of training

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README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8521
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- - Accuracy: 0.0
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  ## Model description
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@@ -38,28 +38,26 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - training_steps: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.25 | 5 | 1.8483 | 0.0 |
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- | 1.5458 | 1.25 | 10 | 1.8642 | 0.0 |
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- | 1.5458 | 2.25 | 15 | 1.8490 | 0.0 |
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- | 0.99 | 3.25 | 20 | 1.8521 | 0.0 |
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  ### Framework versions
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- - Transformers 4.44.2
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- - Pytorch 2.1.2+cu121
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  - Datasets 2.21.0
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.5431
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+ - Accuracy: 0.2
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 24
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.7686 | 0.5 | 12 | 3.5896 | 0.2 |
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+ | 2.4364 | 1.5 | 24 | 2.5431 | 0.2 |
 
 
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  ### Framework versions
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.4.1+cu121
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  - Datasets 2.21.0
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -39,7 +39,7 @@
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  "problem_type": "single_label_classification",
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  "qkv_bias": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.44.2",
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  "tubelet_size": 2,
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  "use_mean_pooling": false
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  }
 
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  "problem_type": "single_label_classification",
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  "qkv_bias": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.45.0.dev0",
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  "tubelet_size": 2,
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  "use_mean_pooling": false
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  }
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