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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: facebook/timesformer-base-finetuned-k400
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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: timesformer-base-finetuned-k400-finetuned-ElderReact-anger-balanced
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # timesformer-base-finetuned-k400-finetuned-ElderReact-anger-balanced
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+
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+ This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8048
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+ - Accuracy: 0.5012
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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+ - eval_batch_size: 16
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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: 240
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6923 | 0.1 | 25 | 0.8338 | 0.4601 |
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+ | 0.6436 | 1.1 | 50 | 0.9187 | 0.5058 |
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+ | 0.5464 | 2.1 | 75 | 0.8165 | 0.5313 |
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+ | 0.4147 | 3.1 | 100 | 0.9950 | 0.5228 |
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+ | 0.4483 | 4.1 | 125 | 1.0642 | 0.5080 |
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+ | 0.3565 | 5.1 | 150 | 0.8611 | 0.5143 |
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+ | 0.3114 | 6.1 | 175 | 0.9595 | 0.5186 |
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+ | 0.3074 | 7.1 | 200 | 1.0242 | 0.5197 |
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+ | 0.2888 | 8.1 | 225 | 1.1212 | 0.5069 |
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+ | 0.2609 | 9.06 | 240 | 1.1119 | 0.5112 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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