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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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