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# distilbert-base-uncased-finetuned-items-multi-label-21122023

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2426
- F1 Micro: 0.7434
- F1 Macro: 0.7586
- Hamming Loss: 0.1041
- Jaccard Score: 0.6168

## 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: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Hamming Loss | Jaccard Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------------:|:-------------:|
| 0.2323        | 1.0   | 32   | 0.2750          | 0.6920   | 0.6304   | 0.1188       | 0.4908        |
| 0.1921        | 2.0   | 64   | 0.2568          | 0.7440   | 0.7413   | 0.1001       | 0.6021        |
| 0.1624        | 3.0   | 96   | 0.2522          | 0.7181   | 0.7230   | 0.1121       | 0.5779        |
| 0.1392        | 4.0   | 128  | 0.2443          | 0.7517   | 0.7693   | 0.0988       | 0.6311        |
| 0.1235        | 5.0   | 160  | 0.2416          | 0.7687   | 0.7817   | 0.0948       | 0.6471        |
| 0.1092        | 6.0   | 192  | 0.2374          | 0.7393   | 0.7520   | 0.1055       | 0.6088        |
| 0.0998        | 7.0   | 224  | 0.2386          | 0.7451   | 0.7615   | 0.1041       | 0.6205        |
| 0.0931        | 8.0   | 256  | 0.2424          | 0.7368   | 0.7524   | 0.1068       | 0.6091        |
| 0.0878        | 9.0   | 288  | 0.2435          | 0.7417   | 0.7570   | 0.1041       | 0.6150        |
| 0.087         | 10.0  | 320  | 0.2426          | 0.7434   | 0.7586   | 0.1041       | 0.6168        |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-items-multi-label-21122023", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us