---
license: cc-by-nc-4.0
base_model: NiiCole/timesformer-base-finetuned-k400-continual-lora-ucf101
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: timesformer-base-finetuned-k400-continual-lora-ucf101-continual-lora-ucf101
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# timesformer-base-finetuned-k400-continual-lora-ucf101-continual-lora-ucf101

This model is a fine-tuned version of [NiiCole/timesformer-base-finetuned-k400-continual-lora-ucf101](https://huggingface.co/NiiCole/timesformer-base-finetuned-k400-continual-lora-ucf101) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8731
- Accuracy: 0.0721

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2276

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7573        | 0.5   | 1138 | 0.6171          | 0.9349   |
| 0.2567        | 1.5   | 2276 | 0.3121          | 0.9699   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3