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# poisoned-baseline2

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.7330
- Accuracy: 0.6466

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.1307        | 1.0   | 130   | 1.0262          | 0.4962   |
| 1.0927        | 2.0   | 260   | 1.7590          | 0.2632   |
| 1.0507        | 3.0   | 390   | 2.1327          | 0.5188   |
| 1.0081        | 4.0   | 520   | 1.3239          | 0.5714   |
| 0.9565        | 5.0   | 650   | 1.1102          | 0.5489   |
| 0.7963        | 6.0   | 780   | 1.3624          | 0.6917   |
| 0.6663        | 7.0   | 910   | 5.5153          | 0.5564   |
| 0.6336        | 8.0   | 1040  | 5.0001          | 0.5940   |
| 0.5852        | 9.0   | 1170  | 9.5447          | 0.5489   |
| 0.5467        | 10.0  | 1300  | 6.4452          | 0.5714   |
| 0.5318        | 11.0  | 1430  | 12.3394         | 0.5038   |
| 0.5177        | 12.0  | 1560  | 3.9932          | 0.5940   |
| 0.4431        | 13.0  | 1690  | 1.7703          | 0.6541   |
| 0.4164        | 14.0  | 1820  | 4.0616          | 0.5038   |
| 0.4392        | 15.0  | 1950  | 1.3017          | 0.7744   |
| 0.4356        | 16.0  | 2080  | 1.1080          | 0.7293   |
| 0.3853        | 17.0  | 2210  | 5.3221          | 0.5789   |
| 0.3911        | 18.0  | 2340  | 1.3064          | 0.7143   |
| 0.3493        | 19.0  | 2470  | 8.7354          | 0.5564   |
| 0.3017        | 20.0  | 2600  | 1.4359          | 0.6466   |
| 0.3532        | 21.0  | 2730  | 5.5559          | 0.6241   |
| 0.2868        | 22.0  | 2860  | 3.5486          | 0.5263   |
| 0.3125        | 23.0  | 2990  | 7.4942          | 0.6617   |
| 0.326         | 24.0  | 3120  | 3.8914          | 0.7143   |
| 0.2561        | 25.0  | 3250  | 2.8141          | 0.6692   |
| 0.2923        | 26.0  | 3380  | 6.7704          | 0.6090   |
| 0.2311        | 27.0  | 3510  | 1.8806          | 0.7293   |
| 0.2274        | 28.0  | 3640  | 2.3829          | 0.6316   |
| 0.2481        | 29.0  | 3770  | 3.2873          | 0.5940   |
| 0.2612        | 30.0  | 3900  | 1.7361          | 0.7368   |
| 0.2541        | 31.0  | 4030  | 6.3135          | 0.6241   |
| 0.1998        | 32.0  | 4160  | 4.0907          | 0.6842   |
| 0.2628        | 33.0  | 4290  | 4.6728          | 0.7068   |
| 0.2515        | 34.0  | 4420  | 3.1405          | 0.6617   |
| 0.2352        | 35.0  | 4550  | 3.2859          | 0.7519   |
| 0.242         | 36.0  | 4680  | 0.8856          | 0.7594   |
| 0.2095        | 37.0  | 4810  | 5.4219          | 0.6692   |
| 0.2173        | 38.0  | 4940  | 9.1599          | 0.6842   |
| 0.1865        | 39.0  | 5070  | 2.9133          | 0.7293   |
| 0.2539        | 40.0  | 5200  | 10.3407         | 0.6241   |
| 0.2512        | 41.0  | 5330  | 4.8001          | 0.7218   |
| 0.2304        | 42.0  | 5460  | 8.2643          | 0.6767   |
| 0.1761        | 43.0  | 5590  | 6.4020          | 0.6466   |
| 0.1947        | 44.0  | 5720  | 2.3283          | 0.7293   |
| 0.2011        | 45.0  | 5850  | 3.2135          | 0.6842   |
| 0.1789        | 46.0  | 5980  | 2.5271          | 0.7218   |
| 0.1217        | 47.0  | 6110  | 3.5338          | 0.7218   |
| 0.197         | 48.0  | 6240  | 2.8379          | 0.7669   |
| 0.1378        | 49.0  | 6370  | 6.7036          | 0.6767   |
| 0.1641        | 50.0  | 6500  | 5.3123          | 0.6692   |
| 0.171         | 51.0  | 6630  | 29.0727         | 0.5489   |
| 0.1694        | 52.0  | 6760  | 3.9145          | 0.7669   |
| 0.1694        | 53.0  | 6890  | 20.2058         | 0.6015   |
| 0.0983        | 54.0  | 7020  | 3.0154          | 0.7444   |
| 0.0983        | 55.0  | 7150  | 4.5036          | 0.6992   |
| 0.1116        | 56.0  | 7280  | 15.8594         | 0.5564   |
| 0.1467        | 57.0  | 7410  | 1.9574          | 0.7744   |
| 0.1161        | 58.0  | 7540  | 7.0993          | 0.5940   |
| 0.1424        | 59.0  | 7670  | 5.0006          | 0.7368   |
| 0.0921        | 60.0  | 7800  | 10.6072         | 0.6015   |
| 0.1014        | 61.0  | 7930  | 3.9741          | 0.7368   |
| 0.1456        | 62.0  | 8060  | 2.6188          | 0.7744   |
| 0.2115        | 63.0  | 8190  | 5.3006          | 0.6617   |
| 0.1167        | 64.0  | 8320  | 3.2966          | 0.6992   |
| 0.0746        | 65.0  | 8450  | 2.1400          | 0.7594   |
| 0.0694        | 66.0  | 8580  | 5.7985          | 0.6767   |
| 0.0515        | 67.0  | 8710  | 3.5244          | 0.6767   |
| 0.0513        | 68.0  | 8840  | 4.2358          | 0.6917   |
| 0.1511        | 69.0  | 8970  | 6.8578          | 0.6541   |
| 0.1871        | 70.0  | 9100  | 12.4745         | 0.6617   |
| 0.114         | 71.0  | 9230  | 2.7450          | 0.7594   |
| 0.0438        | 72.0  | 9360  | 5.2159          | 0.6842   |
| 0.054         | 73.0  | 9490  | 3.8337          | 0.7143   |
| 0.1645        | 74.0  | 9620  | 12.4765         | 0.5789   |
| 0.0655        | 75.0  | 9750  | 3.4949          | 0.7143   |
| 0.0676        | 76.0  | 9880  | 3.7470          | 0.7293   |
| 0.1427        | 77.0  | 10010 | 9.8213          | 0.6316   |
| 0.099         | 78.0  | 10140 | 14.3845         | 0.6015   |
| 0.0943        | 79.0  | 10270 | 3.3007          | 0.7895   |
| 0.0971        | 80.0  | 10400 | 4.5807          | 0.6917   |
| 0.1338        | 81.0  | 10530 | 7.8281          | 0.6692   |
| 0.0494        | 82.0  | 10660 | 10.0532         | 0.6617   |
| 0.0384        | 83.0  | 10790 | 3.4354          | 0.7820   |
| 0.0781        | 84.0  | 10920 | 7.8234          | 0.6316   |
| 0.1122        | 85.0  | 11050 | 5.1243          | 0.7068   |
| 0.0965        | 86.0  | 11180 | 7.5119          | 0.6617   |
| 0.1852        | 87.0  | 11310 | 11.2423         | 0.6015   |
| 0.0512        | 88.0  | 11440 | 2.3147          | 0.7744   |
| 0.0456        | 89.0  | 11570 | 2.9752          | 0.7744   |
| 0.0479        | 90.0  | 11700 | 17.1507         | 0.6241   |
| 0.04          | 91.0  | 11830 | 2.8366          | 0.7068   |
| 0.1437        | 92.0  | 11960 | 16.1989         | 0.5789   |
| 0.0256        | 93.0  | 12090 | 3.2687          | 0.6917   |
| 0.0178        | 94.0  | 12220 | 3.8819          | 0.7068   |
| 0.0356        | 95.0  | 12350 | 2.6739          | 0.6992   |
| 0.1282        | 96.0  | 12480 | 8.0099          | 0.6466   |
| 0.0544        | 97.0  | 12610 | 11.1235         | 0.6466   |
| 0.0502        | 98.0  | 12740 | 4.4413          | 0.6241   |
| 0.0398        | 99.0  | 12870 | 26.8311         | 0.5188   |
| 0.1161        | 100.0 | 13000 | 9.7330          | 0.6466   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3

angular_leaf_spot bean_rust healthy