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# Tech1_Classifier

This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2818
- Precision Macro: 0.6667
- Precision Weighted: 0.7022
- Recall Macro: 0.6794
- Recall Weighted: 0.6667
- F1-score: 0.6606
- Accuracy: 0.6667

## 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: 6.998030661059685e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400.0
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision Macro | Precision Weighted | Recall Macro | Recall Weighted | F1-score | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:------------------:|:------------:|:---------------:|:--------:|:--------:|
| No log        | 1.0   | 34   | 0.7996          | 0.4583          | 0.4917             | 0.4569       | 0.4333          | 0.4327   | 0.4333   |
| No log        | 2.0   | 68   | 0.7830          | 0.625           | 0.6717             | 0.6196       | 0.5667          | 0.5662   | 0.5667   |
| No log        | 3.0   | 102  | 0.7585          | 0.5972          | 0.6380             | 0.6005       | 0.5667          | 0.5662   | 0.5667   |
| No log        | 4.0   | 136  | 0.7577          | 0.6             | 0.6356             | 0.6077       | 0.6             | 0.5928   | 0.6      |
| No log        | 5.0   | 170  | 1.0636          | 0.625           | 0.6806             | 0.5861       | 0.5             | 0.4857   | 0.5      |
| No log        | 6.0   | 204  | 1.3637          | 0.6000          | 0.6533             | 0.5598       | 0.4667          | 0.4444   | 0.4667   |
| No log        | 7.0   | 238  | 1.3466          | 0.6825          | 0.7376             | 0.6651       | 0.6             | 0.5982   | 0.6      |
| No log        | 8.0   | 272  | 1.0232          | 0.7195          | 0.7472             | 0.7321       | 0.7333          | 0.7222   | 0.7333   |
| No log        | 9.0   | 306  | 1.3530          | 0.5909          | 0.6152             | 0.5766       | 0.6333          | 0.5764   | 0.6333   |
| No log        | 10.0  | 340  | 1.2818          | 0.6667          | 0.7022             | 0.6794       | 0.6667          | 0.6606   | 0.6667   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/all-mpnet-base-v2", "model-index": [{"name": "Tech1_Classifier", "results": []}]}
transformers tensorboard safetensors mpnet text-classification generated_from_trainer base_model:sentence-transformers/all-mpnet-base-v2 license:apache-2.0 autotrain_compatible endpoints_compatible region:us