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# ebayes/amazonas-fern-latest

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2619
- Accuracy: 0.7969

## 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: 2e-05
- train_batch_size: 10
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 150

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.9425        | 1.0   | 516   | 4.6442          | 0.2450   |
| 4.4394        | 2.0   | 1032  | 4.1936          | 0.3271   |
| 4.0242        | 3.0   | 1548  | 3.8147          | 0.3891   |
| 3.6368        | 4.0   | 2064  | 3.4881          | 0.4403   |
| 3.3168        | 5.0   | 2580  | 3.1849          | 0.4760   |
| 2.9583        | 6.0   | 3096  | 2.9087          | 0.5054   |
| 2.6652        | 7.0   | 3612  | 2.6435          | 0.5271   |
| 2.3696        | 8.0   | 4128  | 2.4352          | 0.5442   |
| 2.1322        | 9.0   | 4644  | 2.2335          | 0.5814   |
| 1.8776        | 10.0  | 5160  | 2.0674          | 0.5922   |
| 1.6773        | 11.0  | 5676  | 1.9474          | 0.6093   |
| 1.5136        | 12.0  | 6192  | 1.8081          | 0.6264   |
| 1.3341        | 13.0  | 6708  | 1.6931          | 0.6419   |
| 1.2215        | 14.0  | 7224  | 1.5986          | 0.6481   |
| 1.0886        | 15.0  | 7740  | 1.5309          | 0.6744   |
| 0.9762        | 16.0  | 8256  | 1.4605          | 0.6760   |
| 0.8322        | 17.0  | 8772  | 1.4038          | 0.6946   |
| 0.7767        | 18.0  | 9288  | 1.3404          | 0.6961   |
| 0.6943        | 19.0  | 9804  | 1.3143          | 0.7085   |
| 0.6011        | 20.0  | 10320 | 1.2708          | 0.7256   |
| 0.5585        | 21.0  | 10836 | 1.2777          | 0.7101   |
| 0.5014        | 22.0  | 11352 | 1.2744          | 0.7147   |
| 0.4704        | 23.0  | 11868 | 1.1907          | 0.7302   |
| 0.3934        | 24.0  | 12384 | 1.1748          | 0.7442   |
| 0.3616        | 25.0  | 12900 | 1.1897          | 0.7364   |
| 0.3274        | 26.0  | 13416 | 1.1648          | 0.7426   |
| 0.3062        | 27.0  | 13932 | 1.1899          | 0.7333   |
| 0.2726        | 28.0  | 14448 | 1.1192          | 0.7488   |
| 0.2425        | 29.0  | 14964 | 1.0887          | 0.7643   |
| 0.2316        | 30.0  | 15480 | 1.0957          | 0.7674   |
| 0.2321        | 31.0  | 15996 | 1.1206          | 0.7504   |
| 0.1828        | 32.0  | 16512 | 1.1901          | 0.7426   |
| 0.1675        | 33.0  | 17028 | 1.1317          | 0.7566   |
| 0.1572        | 34.0  | 17544 | 1.1530          | 0.7380   |
| 0.1453        | 35.0  | 18060 | 1.1519          | 0.7550   |
| 0.1385        | 36.0  | 18576 | 1.1358          | 0.7690   |
| 0.138         | 37.0  | 19092 | 1.1481          | 0.7628   |
| 0.1244        | 38.0  | 19608 | 1.1959          | 0.7442   |
| 0.1376        | 39.0  | 20124 | 1.1581          | 0.7659   |
| 0.107         | 40.0  | 20640 | 1.1979          | 0.7628   |
| 0.1219        | 41.0  | 21156 | 1.1915          | 0.7566   |
| 0.1105        | 42.0  | 21672 | 1.2247          | 0.7550   |
| 0.127         | 43.0  | 22188 | 1.1439          | 0.7736   |
| 0.1022        | 44.0  | 22704 | 1.1729          | 0.7535   |
| 0.1158        | 45.0  | 23220 | 1.2010          | 0.7535   |
| 0.1045        | 46.0  | 23736 | 1.2051          | 0.7519   |
| 0.103         | 47.0  | 24252 | 1.2006          | 0.7643   |
| 0.0967        | 48.0  | 24768 | 1.1888          | 0.7581   |
| 0.0963        | 49.0  | 25284 | 1.1814          | 0.7690   |
| 0.0923        | 50.0  | 25800 | 1.1566          | 0.7705   |
| 0.1071        | 51.0  | 26316 | 1.2239          | 0.7566   |
| 0.081         | 52.0  | 26832 | 1.2263          | 0.7581   |
| 0.0922        | 53.0  | 27348 | 1.1442          | 0.7628   |
| 0.0787        | 54.0  | 27864 | 1.2122          | 0.7705   |
| 0.0952        | 55.0  | 28380 | 1.3165          | 0.7504   |
| 0.1057        | 56.0  | 28896 | 1.2726          | 0.7550   |
| 0.1123        | 57.0  | 29412 | 1.2554          | 0.7597   |
| 0.0703        | 58.0  | 29928 | 1.1242          | 0.7752   |
| 0.094         | 59.0  | 30444 | 1.1734          | 0.7767   |
| 0.0699        | 60.0  | 30960 | 1.2493          | 0.7550   |
| 0.0731        | 61.0  | 31476 | 1.2414          | 0.7643   |
| 0.0888        | 62.0  | 31992 | 1.3430          | 0.7473   |
| 0.0737        | 63.0  | 32508 | 1.3174          | 0.7566   |
| 0.0825        | 64.0  | 33024 | 1.3129          | 0.7597   |
| 0.0821        | 65.0  | 33540 | 1.2509          | 0.7736   |
| 0.0817        | 66.0  | 34056 | 1.2020          | 0.7736   |
| 0.0754        | 67.0  | 34572 | 1.2447          | 0.7721   |
| 0.0854        | 68.0  | 35088 | 1.2626          | 0.7767   |
| 0.0755        | 69.0  | 35604 | 1.2202          | 0.7814   |
| 0.0847        | 70.0  | 36120 | 1.2525          | 0.7612   |
| 0.068         | 71.0  | 36636 | 1.2940          | 0.7674   |
| 0.0648        | 72.0  | 37152 | 1.2585          | 0.7736   |
| 0.0768        | 73.0  | 37668 | 1.2878          | 0.7597   |
| 0.0771        | 74.0  | 38184 | 1.2685          | 0.7659   |
| 0.0749        | 75.0  | 38700 | 1.2860          | 0.7721   |
| 0.0615        | 76.0  | 39216 | 1.3085          | 0.7643   |
| 0.0677        | 77.0  | 39732 | 1.3011          | 0.7674   |
| 0.0673        | 78.0  | 40248 | 1.2077          | 0.7814   |
| 0.0696        | 79.0  | 40764 | 1.2118          | 0.7860   |
| 0.0714        | 80.0  | 41280 | 1.1952          | 0.7767   |
| 0.0624        | 81.0  | 41796 | 1.2575          | 0.7690   |
| 0.0604        | 82.0  | 42312 | 1.2816          | 0.7736   |
| 0.0641        | 83.0  | 42828 | 1.3230          | 0.7643   |
| 0.0574        | 84.0  | 43344 | 1.2876          | 0.7752   |
| 0.0621        | 85.0  | 43860 | 1.2576          | 0.7845   |
| 0.0639        | 86.0  | 44376 | 1.2486          | 0.7705   |
| 0.0538        | 87.0  | 44892 | 1.2192          | 0.7845   |
| 0.0518        | 88.0  | 45408 | 1.2171          | 0.7674   |
| 0.0563        | 89.0  | 45924 | 1.3201          | 0.7581   |
| 0.0531        | 90.0  | 46440 | 1.2414          | 0.7736   |
| 0.0431        | 91.0  | 46956 | 1.3059          | 0.7736   |
| 0.0655        | 92.0  | 47472 | 1.3307          | 0.7566   |
| 0.0595        | 93.0  | 47988 | 1.2927          | 0.7659   |
| 0.0707        | 94.0  | 48504 | 1.2667          | 0.7628   |
| 0.0517        | 95.0  | 49020 | 1.2957          | 0.7597   |
| 0.0579        | 96.0  | 49536 | 1.3340          | 0.7643   |
| 0.0492        | 97.0  | 50052 | 1.3588          | 0.7535   |
| 0.0472        | 98.0  | 50568 | 1.3074          | 0.7612   |
| 0.0542        | 99.0  | 51084 | 1.2657          | 0.7705   |
| 0.0689        | 100.0 | 51600 | 1.2943          | 0.7752   |
| 0.0464        | 101.0 | 52116 | 1.2386          | 0.7953   |
| 0.0589        | 102.0 | 52632 | 1.2717          | 0.7767   |
| 0.0488        | 103.0 | 53148 | 1.2678          | 0.7814   |
| 0.0554        | 104.0 | 53664 | 1.2711          | 0.7783   |
| 0.0502        | 105.0 | 54180 | 1.2746          | 0.7721   |
| 0.0383        | 106.0 | 54696 | 1.3002          | 0.7798   |
| 0.0531        | 107.0 | 55212 | 1.2636          | 0.7891   |
| 0.0379        | 108.0 | 55728 | 1.3156          | 0.7721   |
| 0.042         | 109.0 | 56244 | 1.3668          | 0.7674   |
| 0.0543        | 110.0 | 56760 | 1.2883          | 0.7783   |
| 0.0522        | 111.0 | 57276 | 1.2913          | 0.7783   |
| 0.0469        | 112.0 | 57792 | 1.2847          | 0.7767   |
| 0.0598        | 113.0 | 58308 | 1.2642          | 0.7876   |
| 0.0472        | 114.0 | 58824 | 1.3264          | 0.7752   |
| 0.0405        | 115.0 | 59340 | 1.2648          | 0.7891   |
| 0.0434        | 116.0 | 59856 | 1.3059          | 0.7798   |
| 0.0481        | 117.0 | 60372 | 1.3373          | 0.7736   |
| 0.0454        | 118.0 | 60888 | 1.3237          | 0.7736   |
| 0.0504        | 119.0 | 61404 | 1.2956          | 0.7736   |
| 0.0495        | 120.0 | 61920 | 1.3504          | 0.7705   |
| 0.0424        | 121.0 | 62436 | 1.2852          | 0.7891   |
| 0.0493        | 122.0 | 62952 | 1.2621          | 0.7891   |
| 0.0421        | 123.0 | 63468 | 1.2755          | 0.7752   |
| 0.0339        | 124.0 | 63984 | 1.2914          | 0.7891   |
| 0.0415        | 125.0 | 64500 | 1.2959          | 0.7876   |
| 0.035         | 126.0 | 65016 | 1.2724          | 0.7891   |
| 0.0342        | 127.0 | 65532 | 1.2564          | 0.7798   |
| 0.0411        | 128.0 | 66048 | 1.2493          | 0.7798   |
| 0.0345        | 129.0 | 66564 | 1.2490          | 0.7891   |
| 0.0365        | 130.0 | 67080 | 1.2560          | 0.7969   |
| 0.0304        | 131.0 | 67596 | 1.2466          | 0.7876   |
| 0.0361        | 132.0 | 68112 | 1.2691          | 0.7953   |
| 0.0387        | 133.0 | 68628 | 1.2849          | 0.7860   |
| 0.0361        | 134.0 | 69144 | 1.2731          | 0.7891   |
| 0.0334        | 135.0 | 69660 | 1.2649          | 0.7907   |
| 0.0368        | 136.0 | 70176 | 1.2562          | 0.7953   |
| 0.0395        | 137.0 | 70692 | 1.2851          | 0.7891   |
| 0.0397        | 138.0 | 71208 | 1.2767          | 0.7891   |
| 0.0433        | 139.0 | 71724 | 1.2383          | 0.8031   |
| 0.031         | 140.0 | 72240 | 1.2429          | 0.7984   |
| 0.0326        | 141.0 | 72756 | 1.2389          | 0.8047   |
| 0.0369        | 142.0 | 73272 | 1.2475          | 0.8      |
| 0.0436        | 143.0 | 73788 | 1.2762          | 0.7907   |
| 0.031         | 144.0 | 74304 | 1.2772          | 0.7891   |
| 0.0278        | 145.0 | 74820 | 1.2513          | 0.7984   |
| 0.0345        | 146.0 | 75336 | 1.2639          | 0.7969   |
| 0.034         | 147.0 | 75852 | 1.2679          | 0.7953   |
| 0.0331        | 148.0 | 76368 | 1.2682          | 0.7938   |
| 0.028         | 149.0 | 76884 | 1.2634          | 0.7953   |
| 0.0356        | 150.0 | 77400 | 1.2619          | 0.7969   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1

actinostachys_pennula adiantopsis_radiata adiantum_adiantoides adiantum_argutum adiantum_cajennense adiantum_decoratum adiantum_dolosum adiantum_fuliginosum adiantum_glaucescens adiantum_humile adiantum_leprieurii adiantum_lucidum adiantum_macrocladum adiantum_macrophyllum adiantum_nudum adiantum_obliquum adiantum_paraense adiantum_petiolatum adiantum_poeppigianum adiantum_pulverulentum adiantum_scalare adiantum_terminatum adiantum_tomentosum adiantum_tuomistoanum alsophila_cuspidata amblovenatum_opulentum ananthacorus_angustifolius asplenium_angustum asplenium_auritum asplenium_cirrhatum asplenium_claussenii asplenium_delitescens asplenium_hallii asplenium_juglandifolium asplenium_pearcei asplenium_serratum asplenium_stuebelianum bolbitis_semipinnatifida campyloneurum_angustifolium campyloneurum_aphanophlebium campyloneurum_fuscosquamatum campyloneurum_phyllitidis christella_dentata cnemidaria_ewanii ctenitis_refulgens cyathea_andina cyathea_bradei cyathea_lasiosora cyathea_leucolepismata cyathea_pungens cyathea_traillii cyclodium_guianense cyclodium_inerme cyclodium_meniscioides cyclodium_trianae cyclopeltis_semicordata danaea_acuminata danaea_bipinnata danaea_cartilaginea danaea_kessleri danaea_lanceolata danaea_leprieurii danaea_nigrescens danaea_opaca danaea_simplicifolia danaea_trifoliata dennstaedtia_obtusifolia didymochlaena_truncatula diplazium_grandifolium dracoglossum_sinuatum elaphoglossum_glabellum elaphoglossum_luridum elaphoglossum_obovatum elaphoglossum_raywaense goniopteris_abrupta goniopteris_biformata goniopteris_juruensis hypoderris_brauniana lastreopsis_effusa lindsaea_digitata lindsaea_divaricata lindsaea_dubia lindsaea_falcata lindsaea_guianensis lindsaea_hemiglossa lindsaea_lancea lindsaea_pallida lindsaea_portoricensis lindsaea_schomburgkii lindsaea_stricta lindsaea_taeniata lindsaea_tetraptera lindsaea_ulei lomariopsis_fendleri lomariopsis_japurensis lomariopsis_latipinna lomariopsis_nigropaleata lomariopsis_prieuriana lygodium_volubile meniscium_macrophyllum metaxya_lanosa metaxya_parkeri metaxya_rostrata metaxya_scalaris mickelia_guianensis mickelia_lindigii mickelia_nicotianifolia mickelia_oligarchica microgramma_dictyophylla microgramma_megalophylla microgramma_percussa microgramma_reptans microgramma_thurnii micropolypodium_nanum nephrolepis_biserrata nephrolepis_rivularis pecluma_hygrometrica pecluma_pectinata pecluma_plumula phlebodium_decumanum pityrogramma_calomelanos pleopeltis_bombycina pleopeltis_desvauxii polybotrya_caudata polybotrya_crassirhizoma polybotrya_fractiserialis polybotrya_glandulosa polybotrya_pubens polybotrya_sessilisora polytaenium_cajenense polytaenium_citrifolium polytaenium_guayanense pteridium_arachnoideum pteris_altissima pteris_propinqua pteris_pungens pteris_tripartita saccoloma_elegans saccoloma_inaequale salpichlaena_hookeriana salpichlaena_hybrida salpichlaena_papyrus salpichlaena_volubilis schizaea_elegans selaginella_anceps selaginella_breynii selaginella_conduplicata selaginella_exaltata selaginella_flagellata selaginella_haematodes selaginella_lechleri selaginella_palmiformis selaginella_parkeri selaginella_pedata selaginella_producta selaginella_revoluta serpocaulon_adnatum serpocaulon_caceresii serpocaulon_dasypleuron steiropteris_leprieurii steiropteris_pennellii tectaria_pilosa tectaria_pubens tectaria_vivipara trichomanes_accedens trichomanes_ankersii trichomanes_arbuscula trichomanes_bicorne trichomanes_botryoides trichomanes_collariatum trichomanes_diversifrons trichomanes_elegans trichomanes_hostmannianum trichomanes_humboldtii trichomanes_martiusii trichomanes_pinnatum trichomanes_polypodioides trichomanes_spruceanum trichomanes_trollii trichomanes_tuerckheimii trichomanes_vittaria triplophyllum_dicksonioides triplophyllum_funestum triplophyllum_hirsutum