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# Tech_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: 0.5577
- Precision Macro: 0.7375
- Precision Weighted: 0.7688
- Recall Macro: 0.7542
- Recall Weighted: 0.75
- F1-score: 0.7402
- Accuracy: 0.75

## 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: 2.4087906383121997e-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: 500.0
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision Macro | Precision Weighted | Recall Macro | Recall Weighted | F1-score | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:------------------:|:------------:|:---------------:|:--------:|:--------:|
| No log        | 1.0   | 40   | 0.7037          | 0.3333          | 0.3333             | 0.4448       | 0.3333          | 0.2776   | 0.3333   |
| No log        | 2.0   | 80   | 0.6985          | 0.4581          | 0.4896             | 0.4716       | 0.3889          | 0.3714   | 0.3889   |
| No log        | 3.0   | 120  | 0.7004          | 0.5625          | 0.6146             | 0.5268       | 0.4167          | 0.3778   | 0.4167   |
| No log        | 4.0   | 160  | 0.6611          | 0.6667          | 0.6898             | 0.6605       | 0.6944          | 0.6630   | 0.6944   |
| No log        | 5.0   | 200  | 0.6601          | 0.6192          | 0.6596             | 0.6288       | 0.6111          | 0.6062   | 0.6111   |
| No log        | 6.0   | 240  | 0.5442          | 0.7346          | 0.7442             | 0.7040       | 0.75            | 0.7125   | 0.75     |
| No log        | 7.0   | 280  | 0.5577          | 0.7375          | 0.7688             | 0.7542       | 0.75            | 0.7402   | 0.75     |


### 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": "Tech_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