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# vit-base-patch16-224_album_vitVMMRdb_make_model_album_pred

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4670
- Accuracy: 0.8781
- Precision: 0.8768
- Recall: 0.8781
- F1: 0.8758

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 3.5529        | 1.0   | 839   | 3.3687          | 0.3096   | 0.2809    | 0.3096 | 0.2246 |
| 1.7855        | 2.0   | 1678  | 1.6042          | 0.6378   | 0.6187    | 0.6378 | 0.5996 |
| 1.1054        | 3.0   | 2517  | 1.0105          | 0.7556   | 0.7512    | 0.7556 | 0.7385 |
| 0.8179        | 4.0   | 3356  | 0.7794          | 0.8033   | 0.8020    | 0.8033 | 0.7934 |
| 0.6057        | 5.0   | 4195  | 0.6479          | 0.8294   | 0.8274    | 0.8294 | 0.8212 |
| 0.4709        | 6.0   | 5034  | 0.5817          | 0.8478   | 0.8477    | 0.8478 | 0.8428 |
| 0.3962        | 7.0   | 5873  | 0.5333          | 0.8571   | 0.8570    | 0.8571 | 0.8527 |
| 0.346         | 8.0   | 6712  | 0.5073          | 0.8638   | 0.8647    | 0.8638 | 0.8615 |
| 0.2772        | 9.0   | 7551  | 0.4881          | 0.8681   | 0.8679    | 0.8681 | 0.8656 |
| 0.2136        | 10.0  | 8390  | 0.4777          | 0.8719   | 0.8718    | 0.8719 | 0.8689 |
| 0.1937        | 11.0  | 9229  | 0.4737          | 0.8734   | 0.8731    | 0.8734 | 0.8703 |
| 0.1754        | 12.0  | 10068 | 0.4604          | 0.8758   | 0.8750    | 0.8758 | 0.8733 |
| 0.1111        | 13.0  | 10907 | 0.4561          | 0.8790   | 0.8782    | 0.8790 | 0.8768 |
| 0.1128        | 14.0  | 11746 | 0.4519          | 0.8808   | 0.8799    | 0.8808 | 0.8787 |
| 0.1018        | 15.0  | 12585 | 0.4497          | 0.8813   | 0.8805    | 0.8813 | 0.8794 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2

acura_cl acura_integra acura_legend acura_mdx acura_rdx acura_rl acura_rsx acura_tl acura_tsx audi_a3 audi_a4 audi_a6 audi_a8 audi_s4 audi_tt bmw_323i bmw_325i bmw_328i bmw_330ci bmw_330i bmw_335i bmw_525i bmw_528i bmw_530i bmw_535i bmw_540i bmw_545i bmw_550i bmw_740i bmw_745i bmw_750i bmw_m3 bmw_m5 bmw_x3 bmw_x5 bmw_z3 bmw_z4 buick_century buick_enclave buick_lacrosse buick_lesabre buick_lucerne buick_parkavenue buick_regal buick_rendezvous buick_riviera cadillac_catera cadillac_cts cadillac_deville cadillac_eldorado cadillac_escalade cadillac_seville cadillac_srx cadillac_sts chevrolet_astro chevrolet_avalanche chevrolet_aveo chevrolet_bel air chevrolet_blazer chevrolet_c-k1500 chevrolet_c10 chevrolet_camaro chevrolet_caprice chevrolet_cavalier chevrolet_chevelle chevrolet_cobalt chevrolet_colorado chevrolet_corvette chevrolet_cruze chevrolet_el camino chevrolet_equinox chevrolet_express chevrolet_hhr chevrolet_impala chevrolet_lumina chevrolet_malibu chevrolet_montecarlo 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gmc_suburban gmc_terrain gmc_yukon honda_accord honda_civic honda_cr-v honda_delsol honda_element honda_fit honda_odyssey honda_passport honda_pilot honda_prelude honda_ridgeline honda_s2000 hummer_h2 hummer_h3 hyundai_accent hyundai_azera hyundai_elantra hyundai_genesis hyundai_santafe hyundai_sonata hyundai_tiburon hyundai_tucson infiniti_fx35 infiniti_g35 infiniti_g37 infiniti_i30 infiniti_i35 infiniti_m35 infiniti_q45 infiniti_qx4 infiniti_qx56 isuzu_rodeo isuzu_trooper jaguar_s-type jaguar_x-type jaguar_xj jeep_cherokee jeep_cj5 jeep_cj7 jeep_commander jeep_compass jeep_grand jeep_liberty jeep_patriot jeep_wrangler kia_amanti kia_forte kia_optima kia_rio kia_sedona kia_sephia kia_sorento kia_soul kia_spectra kia_sportage landrover_discovery landrover_rangerover lexus_es300 lexus_es330 lexus_es350 lexus_gs300 lexus_gx470 lexus_is250 lexus_is300 lexus_is350 lexus_ls400 lexus_ls430 lexus_rx300 lexus_rx330 lexus_sc430 lincoln_aviator lincoln_continental lincoln_ls lincoln_mark 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