Model save

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: facebook/timesformer-base-finetuned-k400
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Timesformer_BdSLW60
+  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. -->
+
+# Timesformer_BdSLW60
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.3431
+- Accuracy: 0.6296
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 2190
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.3419        | 0.4005 | 877  | 1.5632          | 0.5540   |
+| 0.1291        | 1.4005 | 1754 | 1.2778          | 0.6516   |
+| 0.183         | 2.1991 | 2190 | 1.3431          | 0.6296   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

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