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# Tech3_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: 0.6158
- Precision Macro: 0.8889
- Precision Weighted: 0.9159
- Recall Macro: 0.9130
- Recall Weighted: 0.8919
- F1-score: 0.8899
- Accuracy: 0.8919

## 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: 4.1970518636531135e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100.0
- 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   | 55   | 0.5899          | 0.3108          | 0.3864             | 0.5          | 0.6216          | 0.3833   | 0.6216   |
| No log        | 2.0   | 110  | 0.4535          | 0.8013          | 0.8091             | 0.7919       | 0.8108          | 0.7959   | 0.8108   |
| No log        | 3.0   | 165  | 0.4795          | 0.8029          | 0.8266             | 0.8199       | 0.8108          | 0.8057   | 0.8108   |
| No log        | 4.0   | 220  | 0.4210          | 0.8824          | 0.8995             | 0.8991       | 0.8919          | 0.8879   | 0.8919   |
| No log        | 5.0   | 275  | 0.6686          | 0.85            | 0.8865             | 0.8696       | 0.8378          | 0.8368   | 0.8378   |
| No log        | 6.0   | 330  | 0.4534          | 0.8824          | 0.8995             | 0.8991       | 0.8919          | 0.8879   | 0.8919   |
| No log        | 7.0   | 385  | 0.5761          | 0.8889          | 0.9159             | 0.9130       | 0.8919          | 0.8899   | 0.8919   |
| No log        | 8.0   | 440  | 0.5574          | 0.8889          | 0.9159             | 0.9130       | 0.8919          | 0.8899   | 0.8919   |
| No log        | 9.0   | 495  | 0.6189          | 0.8889          | 0.9159             | 0.9130       | 0.8919          | 0.8899   | 0.8919   |
| 0.2469        | 10.0  | 550  | 0.6158          | 0.8889          | 0.9159             | 0.9130       | 0.8919          | 0.8899   | 0.8919   |


### 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": "Tech3_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