
<!-- 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. -->

# poison-distill

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: -113.4181
- Accuracy: 0.6917

## 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: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| -0.7533       | 1.0   | 130  | -7.9549         | 0.5263   |
| -8.2193       | 2.0   | 260  | -15.5418        | 0.4662   |
| -14.3197      | 3.0   | 390  | -32.2167        | 0.4737   |
| -18.5547      | 4.0   | 520  | -18.9202        | 0.5489   |
| -22.6905      | 5.0   | 650  | -55.1682        | 0.4361   |
| -27.5336      | 6.0   | 780  | -32.4679        | 0.3459   |
| -29.5975      | 7.0   | 910  | -48.1715        | 0.3985   |
| -34.1837      | 8.0   | 1040 | -67.7293        | 0.6165   |
| -37.6123      | 9.0   | 1170 | -52.1341        | 0.4662   |
| -40.7694      | 10.0  | 1300 | -49.0945        | 0.6767   |
| -43.3691      | 11.0  | 1430 | -37.0478        | 0.5489   |
| -47.6433      | 12.0  | 1560 | -73.0523        | 0.4511   |
| -51.0141      | 13.0  | 1690 | -110.8840       | 0.4812   |
| -54.6         | 14.0  | 1820 | -81.2219        | 0.3308   |
| -57.2133      | 15.0  | 1950 | -80.8684        | 0.5113   |
| -58.3442      | 16.0  | 2080 | -66.5341        | 0.4060   |
| -64.7089      | 17.0  | 2210 | -75.7059        | 0.5564   |
| -64.26        | 18.0  | 2340 | -77.7801        | 0.5263   |
| -67.8509      | 19.0  | 2470 | -61.1841        | 0.6316   |
| -71.9371      | 20.0  | 2600 | -118.1544       | 0.5038   |
| -75.9672      | 21.0  | 2730 | -179.2044       | 0.4812   |
| -78.0096      | 22.0  | 2860 | -129.4854       | 0.4436   |
| -80.3581      | 23.0  | 2990 | -100.0687       | 0.4286   |
| -84.623       | 24.0  | 3120 | -82.5292        | 0.3835   |
| -86.5363      | 25.0  | 3250 | -84.6636        | 0.4211   |
| -90.8566      | 26.0  | 3380 | -96.3337        | 0.5489   |
| -92.2054      | 27.0  | 3510 | -110.3293       | 0.4737   |
| -97.6982      | 28.0  | 3640 | -195.6973       | 0.4135   |
| -95.8944      | 29.0  | 3770 | -101.9933       | 0.3609   |
| -99.491       | 30.0  | 3900 | -99.8199        | 0.6541   |
| -103.0877     | 31.0  | 4030 | -94.2175        | 0.6767   |
| -102.7123     | 32.0  | 4160 | -98.6300        | 0.4887   |
| -105.2087     | 33.0  | 4290 | -152.7768       | 0.4962   |
| -105.3795     | 34.0  | 4420 | -198.8245       | 0.5263   |
| -108.9734     | 35.0  | 4550 | -105.7644       | 0.4286   |
| -111.1308     | 36.0  | 4680 | -121.4677       | 0.4962   |
| -115.0085     | 37.0  | 4810 | -75.3733        | 0.3083   |
| -114.714      | 38.0  | 4940 | -115.4598       | 0.6617   |
| -117.5734     | 39.0  | 5070 | -108.3964       | 0.4135   |
| -115.1971     | 40.0  | 5200 | -123.7679       | 0.3835   |
| -117.5617     | 41.0  | 5330 | -69.2224        | 0.2932   |
| -118.2803     | 42.0  | 5460 | -104.5906       | 0.6541   |
| -119.6297     | 43.0  | 5590 | -187.3416       | 0.5188   |
| -121.6325     | 44.0  | 5720 | -221.8878       | 0.5113   |
| -120.9663     | 45.0  | 5850 | -176.6644       | 0.3759   |
| -122.3583     | 46.0  | 5980 | -142.5218       | 0.4361   |
| -126.6614     | 47.0  | 6110 | -271.1018       | 0.4962   |
| -122.1615     | 48.0  | 6240 | -240.8323       | 0.3985   |
| -125.4207     | 49.0  | 6370 | -103.5760       | 0.6466   |
| -127.0661     | 50.0  | 6500 | -113.2718       | 0.6842   |


### 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