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videomae-base-SOCAL1-finetune

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Generated from Trainer
Inference Endpoints
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  1. README.md +14 -11
  2. model.safetensors +1 -1
  3. runs/Nov16_09-00-47_eaf4bd5c128f/events.out.tfevents.1700127024.eaf4bd5c128f.68110.1 +3 -0
README.md CHANGED
@@ -4,7 +4,7 @@ base_model: MCG-NJU/videomae-base
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  tags:
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  - generated_from_trainer
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  metrics:
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- - accuracy
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  model-index:
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  - name: videomae-base-SOCAL1-finetune
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  results: []
@@ -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: 1.3128
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- - Accuracy: 0.65
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  ## Model description
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@@ -38,21 +38,24 @@ More information needed
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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: 276
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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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- | 1.1666 | 0.33 | 92 | 1.1252 | 0.7 |
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- | 1.1219 | 1.33 | 184 | 1.2361 | 0.7 |
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- | 1.0845 | 2.33 | 276 | 0.8981 | 0.7 |
 
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  metrics:
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+ - f1
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  model-index:
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  - name: videomae-base-SOCAL1-finetune
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  results: []
 
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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: 0.7559
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+ - F1: 0.6420
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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: 138
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.6991 | 0.17 | 23 | 0.7139 | 0.7089 |
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+ | 0.6361 | 1.17 | 46 | 0.7703 | 0.7089 |
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+ | 0.882 | 2.17 | 69 | 0.6996 | 0.1333 |
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+ | 0.657 | 3.17 | 92 | 0.7329 | 0.7089 |
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+ | 0.64 | 4.17 | 115 | 0.7165 | 0.7089 |
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+ | 0.6312 | 5.17 | 138 | 0.6639 | 0.7089 |
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  ### Framework versions
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  size 344937368
 
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runs/Nov16_09-00-47_eaf4bd5c128f/events.out.tfevents.1700127024.eaf4bd5c128f.68110.1 ADDED
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