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miladfa7
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Matcha_clips_224_fintuned_5

Video Classification
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TensorBoard
Safetensors
videomae
Generated from Trainer
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  1. README.md +15 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1401
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- - Accuracy: 0.7703
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  ## Model description
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@@ -43,19 +43,22 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - training_steps: 805
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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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- | 0.4705 | 0.1429 | 115 | 1.0046 | 0.7317 |
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- | 0.1493 | 1.1429 | 230 | 1.2261 | 0.7561 |
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- | 0.0965 | 2.1429 | 345 | 1.1611 | 0.7692 |
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- | 0.0018 | 3.1429 | 460 | 1.2064 | 0.7821 |
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- | 0.012 | 4.1429 | 575 | 1.1255 | 0.7821 |
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- | 0.0009 | 5.1429 | 690 | 1.0889 | 0.7821 |
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- | 0.0007 | 6.1429 | 805 | 1.1401 | 0.7703 |
 
 
 
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5168
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+ - Accuracy: 0.7326
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 1140
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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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+ | 0.5414 | 0.1 | 114 | 0.9738 | 0.6628 |
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+ | 0.175 | 1.1 | 228 | 1.3822 | 0.7093 |
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+ | 0.0043 | 2.1 | 342 | 1.1047 | 0.7442 |
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+ | 0.0034 | 3.1 | 456 | 1.4682 | 0.7093 |
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+ | 0.0038 | 4.1 | 570 | 1.4363 | 0.7209 |
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+ | 0.0005 | 5.1 | 684 | 1.4663 | 0.7209 |
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+ | 0.0005 | 6.1 | 798 | 1.4943 | 0.7326 |
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+ | 0.0004 | 7.1 | 912 | 1.5062 | 0.7326 |
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+ | 0.0004 | 8.1 | 1026 | 1.5134 | 0.7326 |
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+ | 0.0004 | 9.1 | 1140 | 1.5168 | 0.7326 |
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  ### Framework versions
model.safetensors CHANGED
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