End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/timesformer-base-finetuned-k600
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: model_timesformer_batch16_gas4
+  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. -->
+
+# model_timesformer_batch16_gas4
+
+This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k600](https://huggingface.co/facebook/timesformer-base-finetuned-k600) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6371
+- Accuracy: 0.5365
+
+## 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: 3000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.649         | 0.33  | 1000 | 1.7987          | 0.49     |
+| 1.541         | 1.33  | 2000 | 1.6730          | 0.5215   |
+| 1.1614        | 2.33  | 3000 | 1.6371          | 0.5365   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

runs/Mar04_21-23-24_56a1f0b00d24/events.out.tfevents.1709587510.56a1f0b00d24.34.0

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