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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: abcd
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. -->
# abcd
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: 0.7002
- Accuracy: 0.7887
## 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: 4
- eval_batch_size: 4
- 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: 552
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.1325 | 0.1685 | 93 | 1.0676 | 0.5568 |
| 0.738 | 1.1685 | 186 | 1.2091 | 0.5499 |
| 0.6397 | 2.1685 | 279 | 1.2484 | 0.6116 |
| 0.4395 | 3.1685 | 372 | 1.0140 | 0.6427 |
| 0.3098 | 4.1685 | 465 | 0.9757 | 0.6830 |
| 0.1016 | 5.1576 | 552 | 0.7179 | 0.7589 |
### Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.3.2
- Tokenizers 0.21.1
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