End of training

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: Timesformers-d2
+  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. -->
+
+# Timesformers-d2
+
+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: 3.1846
+- Accuracy: 0.3837
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 6650
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.2571        | 0.1   | 665  | 2.3766          | 0.1290   |
+| 2.6714        | 1.1   | 1330 | 2.1852          | 0.3322   |
+| 2.043         | 2.1   | 1995 | 2.2204          | 0.4194   |
+| 1.9388        | 3.1   | 2660 | 2.3677          | 0.3942   |
+| 1.0149        | 4.1   | 3325 | 2.7201          | 0.3735   |
+| 0.9037        | 5.1   | 3990 | 2.8475          | 0.3990   |
+| 0.5886        | 6.1   | 4655 | 3.1694          | 0.2964   |
+| 0.0949        | 7.1   | 5320 | 3.3158          | 0.3550   |
+| 0.5152        | 8.1   | 5985 | 3.2698          | 0.3849   |
+| 0.8404        | 9.1   | 6650 | 3.1846          | 0.3837   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

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