Training in progress, epoch 0

README.md

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+---
+library_name: transformers
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-furtos
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# videomae-base-furtos
+
+This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3482
+- Accuracy: 1.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.125 | 1    | 0.6633          | 0.5      |
+| No log        | 1.125 | 2    | 0.5622          | 0.75     |
+| No log        | 2.125 | 3    | 0.4896          | 0.85     |
+| No log        | 3.125 | 4    | 0.4415          | 0.95     |
+| No log        | 4.125 | 5    | 0.4049          | 1.0      |
+| No log        | 5.125 | 6    | 0.3768          | 1.0      |
+| No log        | 6.125 | 7    | 0.3576          | 1.0      |
+| No log        | 7.125 | 8    | 0.3482          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.3.1+cu118
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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