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# simple_exp

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3011
- Accuracy: 0.4725

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.9475        | 0.97  | 19   | 4.9313          | 0.0162   |
| 4.9042        | 2.0   | 39   | 4.8811          | 0.0583   |
| 4.8017        | 2.97  | 58   | 4.7814          | 0.2071   |
| 4.6283        | 4.0   | 78   | 4.6441          | 0.2589   |
| 4.4331        | 4.97  | 97   | 4.5068          | 0.3042   |
| 4.2235        | 6.0   | 117  | 4.3708          | 0.3269   |
| 4.0763        | 6.97  | 136  | 4.2528          | 0.3657   |
| 3.9078        | 8.0   | 156  | 4.1407          | 0.3851   |
| 3.7584        | 8.97  | 175  | 4.0365          | 0.4142   |
| 3.6051        | 10.0  | 195  | 3.9551          | 0.4045   |
| 3.4872        | 10.97 | 214  | 3.8674          | 0.4239   |
| 3.3766        | 12.0  | 234  | 3.7926          | 0.4369   |
| 3.3067        | 12.97 | 253  | 3.7247          | 0.4531   |
| 3.2303        | 14.0  | 273  | 3.6577          | 0.4369   |
| 3.0874        | 14.97 | 292  | 3.6127          | 0.4725   |
| 3.0064        | 16.0  | 312  | 3.5594          | 0.4854   |
| 2.9259        | 16.97 | 331  | 3.5304          | 0.4628   |
| 2.9121        | 18.0  | 351  | 3.4865          | 0.4660   |
| 2.8135        | 18.97 | 370  | 3.4552          | 0.4725   |
| 2.7554        | 20.0  | 390  | 3.4350          | 0.4660   |
| 2.749         | 20.97 | 409  | 3.3701          | 0.4790   |
| 2.7058        | 22.0  | 429  | 3.3568          | 0.4854   |
| 2.6684        | 22.97 | 448  | 3.3298          | 0.5049   |
| 2.6722        | 24.0  | 468  | 3.2839          | 0.5049   |
| 2.5821        | 24.97 | 487  | 3.2736          | 0.4822   |
| 2.5701        | 26.0  | 507  | 3.2917          | 0.4790   |
| 2.5679        | 26.97 | 526  | 3.2784          | 0.4984   |
| 2.5682        | 28.0  | 546  | 3.3007          | 0.4887   |
| 2.517         | 28.97 | 565  | 3.2811          | 0.4790   |
| 2.5655        | 29.23 | 570  | 3.3011          | 0.4725   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0

kick+football fold+paper open+umbrella break+window soak+hair insert+key cook+egg twist+hair boil+potato label+box burn+tree pile+boxes grind+meat bake+potato soak+shirt bend+knee cook+potato scratch+car burst+balloon spill+coffee saw+wood scratch+knee peel+potato burn+book close+cabinet close+book arrange+chairs hang+shirt burn+wood tie+shoe bind+hair cut+potato strip+tree fry+egg fasten+door boil+egg close+door arrange+flowers cook+meat lock+cabinet slice+meat burn+paper cut+tree cut+apple stain+shirt cut+onion stir+soup peel+orange cut+wood throw+apple throw+baseball hang+bag crop+hair shut+window crack+egg carry+book open+cabinet open+drawer tear+shirt squeeze+bottle smash+window slice+onion crack+glass wrap+book break+door chop+tree skin+knee block+window kick+door chop+meat open+door coil+rope block+door cook+onion crack+window lock+door peel+carrot squeeze+orange open+bottle stain+paper park+car chop+carrot split+wood break+glass slice+potato shut+door close+window roll+umbrella crack+bottle ride+bicycle lock+window knot+rope throw+football open+window fry+meat bend+tree break+bowl peel+banana break+egg split+tree fry+potato label+bottle ignite+wood beat+eggs grate+carrot pile+wood throw+frisbee pile+books grate+potato carry+umbrella tear+book carry+bag tear+paper crash+car saw+tree shave+hair slice+apple lock+drawer burst+door break+cup wrap+box rip+paper twist+rope peel+apple mix+eggs stir+coffee mash+potato chop+wood ignite+paper open+box trim+tree roll+paper pitch+baseball chop+onion trim+hair close+drawer fasten+window bite+apple smash+door cut+meat