---
license: cc-by-nc-4.0
base_model: facebook/timesformer-base-finetuned-k400
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tsf-newDS-r224-f90-8.8-h768-i3072-p32-b8-e50
  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. -->

# tsf-newDS-r224-f90-8.8-h768-i3072-p32-b8-e50

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: 0.9773
- Accuracy: 0.8186

## 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: 6550
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1214        | 0.02  | 131  | 1.1007          | 0.3319   |
| 1.135         | 1.02  | 262  | 1.1006          | 0.3496   |
| 1.1075        | 2.02  | 393  | 1.1293          | 0.3230   |
| 1.157         | 3.02  | 524  | 1.1034          | 0.3540   |
| 1.1213        | 4.02  | 655  | 1.2115          | 0.3230   |
| 1.1139        | 5.02  | 786  | 1.0907          | 0.3540   |
| 1.1237        | 6.02  | 917  | 1.0917          | 0.3230   |
| 1.1137        | 7.02  | 1048 | 1.1317          | 0.3230   |
| 1.1056        | 8.02  | 1179 | 1.1004          | 0.3319   |
| 1.1082        | 9.02  | 1310 | 1.1200          | 0.3142   |
| 1.0915        | 10.02 | 1441 | 1.0995          | 0.3982   |
| 1.0066        | 11.02 | 1572 | 1.0283          | 0.4602   |
| 0.9384        | 12.02 | 1703 | 1.0246          | 0.4690   |
| 0.991         | 13.02 | 1834 | 1.0044          | 0.4513   |
| 0.9787        | 14.02 | 1965 | 0.9504          | 0.5442   |
| 0.8522        | 15.02 | 2096 | 0.8761          | 0.6195   |
| 0.9404        | 16.02 | 2227 | 0.9207          | 0.5531   |
| 0.8297        | 17.02 | 2358 | 0.9401          | 0.6018   |
| 0.6493        | 18.02 | 2489 | 0.8470          | 0.6283   |
| 0.6117        | 19.02 | 2620 | 0.9770          | 0.6283   |
| 0.676         | 20.02 | 2751 | 0.9361          | 0.6504   |
| 0.5106        | 21.02 | 2882 | 0.7691          | 0.6947   |
| 0.5782        | 22.02 | 3013 | 0.6593          | 0.7832   |
| 0.5183        | 23.02 | 3144 | 0.9417          | 0.6770   |
| 0.4466        | 24.02 | 3275 | 0.7373          | 0.7257   |
| 0.7414        | 25.02 | 3406 | 0.7389          | 0.7788   |
| 0.6338        | 26.02 | 3537 | 0.6562          | 0.7788   |
| 0.5423        | 27.02 | 3668 | 0.4732          | 0.8540   |
| 0.6629        | 28.02 | 3799 | 0.9399          | 0.7434   |
| 0.3087        | 29.02 | 3930 | 1.0425          | 0.6947   |
| 0.2584        | 30.02 | 4061 | 0.6969          | 0.7965   |
| 0.2846        | 31.02 | 4192 | 0.6573          | 0.8186   |
| 0.4084        | 32.02 | 4323 | 0.6418          | 0.8053   |
| 0.4092        | 33.02 | 4454 | 1.1458          | 0.7434   |
| 0.4956        | 34.02 | 4585 | 0.8430          | 0.8053   |
| 0.28          | 35.02 | 4716 | 0.7289          | 0.8009   |
| 0.2646        | 36.02 | 4847 | 0.6761          | 0.8053   |
| 0.313         | 37.02 | 4978 | 1.0661          | 0.7832   |
| 0.2937        | 38.02 | 5109 | 0.9224          | 0.8009   |
| 0.2626        | 39.02 | 5240 | 0.5193          | 0.8628   |
| 0.4277        | 40.02 | 5371 | 0.6577          | 0.8319   |
| 0.1663        | 41.02 | 5502 | 1.1011          | 0.7743   |
| 0.1576        | 42.02 | 5633 | 0.7574          | 0.8407   |
| 0.3203        | 43.02 | 5764 | 0.8206          | 0.8407   |
| 0.2027        | 44.02 | 5895 | 1.1296          | 0.7743   |
| 0.188         | 45.02 | 6026 | 0.9082          | 0.8009   |
| 0.1701        | 46.02 | 6157 | 1.0158          | 0.8009   |
| 0.2083        | 47.02 | 6288 | 1.1480          | 0.7788   |
| 0.1618        | 48.02 | 6419 | 0.9984          | 0.8009   |
| 0.2421        | 49.02 | 6550 | 0.9773          | 0.8186   |


### Framework versions

- Transformers 4.41.2
- Pytorch 1.13.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1