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martinnz
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fine-tuned-model-volley

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videomae
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  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ 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: 0.2608
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- - Accuracy: 0.9142
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  ## Model description
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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: 4
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- - eval_batch_size: 4
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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: 2199
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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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- | 0.9134 | 0.3256 | 716 | 0.7911 | 0.7407 |
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- | 0.5254 | 1.3256 | 1432 | 0.3366 | 0.8722 |
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- | 0.8093 | 2.3256 | 2148 | 0.2591 | 0.9160 |
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- | 0.6944 | 3.0232 | 2199 | 0.2608 | 0.9142 |
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  ### Framework versions
 
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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: 2.0577
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+ - Accuracy: 0.5440
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  ## Model description
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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: 2
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+ - eval_batch_size: 2
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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: 4398
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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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+ | 1.0824 | 0.3256 | 1432 | 1.1156 | 0.2518 |
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+ | 1.1209 | 1.3256 | 2864 | 1.1353 | 0.2518 |
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+ | 0.9774 | 2.3256 | 4296 | 1.9426 | 0.5563 |
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+ | 0.3645 | 3.0232 | 4398 | 2.0577 | 0.5440 |
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  ### Framework versions
model.safetensors CHANGED
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