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# S04-PC

This model is a fine-tuned version of [Anwaarma/Merged-Server-praj](https://huggingface.co/Anwaarma/Merged-Server-praj) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5103
- Accuracy: 0.68
- F1: 0.8095

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 0.01  | 50   | 0.6565          | 0.61     | 0.6017 |
| No log        | 0.01  | 100  | 0.6527          | 0.66     | 0.6604 |
| No log        | 0.02  | 150  | 0.6491          | 0.63     | 0.6306 |
| No log        | 0.03  | 200  | 0.6530          | 0.65     | 0.6488 |
| No log        | 0.03  | 250  | 0.6844          | 0.66     | 0.6605 |
| No log        | 0.04  | 300  | 0.6677          | 0.67     | 0.6705 |
| No log        | 0.04  | 350  | 0.6830          | 0.65     | 0.6505 |
| No log        | 0.05  | 400  | 0.6547          | 0.63     | 0.6297 |
| No log        | 0.06  | 450  | 0.6579          | 0.63     | 0.6306 |
| 0.6131        | 0.06  | 500  | 0.6316          | 0.62     | 0.62   |
| 0.6131        | 0.07  | 550  | 0.6677          | 0.65     | 0.6505 |
| 0.6131        | 0.08  | 600  | 0.6725          | 0.68     | 0.6804 |
| 0.6131        | 0.08  | 650  | 0.6304          | 0.66     | 0.6600 |
| 0.6131        | 0.09  | 700  | 0.6332          | 0.67     | 0.6705 |
| 0.6131        | 0.09  | 750  | 0.5832          | 0.68     | 0.6804 |
| 0.6131        | 0.1   | 800  | 0.5870          | 0.68     | 0.6794 |
| 0.6131        | 0.11  | 850  | 0.5742          | 0.7      | 0.6994 |
| 0.6131        | 0.11  | 900  | 0.5861          | 0.68     | 0.6794 |
| 0.6131        | 0.12  | 950  | 0.5922          | 0.68     | 0.6794 |
| 0.5945        | 0.13  | 1000 | 0.5769          | 0.67     | 0.6697 |
| 0.5945        | 0.13  | 1050 | 0.6237          | 0.7      | 0.7004 |
| 0.5945        | 0.14  | 1100 | 0.6270          | 0.69     | 0.6897 |
| 0.5945        | 0.14  | 1150 | 0.6026          | 0.65     | 0.6497 |
| 0.5945        | 0.15  | 1200 | 0.6483          | 0.69     | 0.6902 |
| 0.5945        | 0.16  | 1250 | 0.6043          | 0.65     | 0.6502 |
| 0.5945        | 0.16  | 1300 | 0.5933          | 0.69     | 0.6897 |
| 0.5945        | 0.17  | 1350 | 0.5837          | 0.69     | 0.6902 |
| 0.5945        | 0.18  | 1400 | 0.6172          | 0.68     | 0.6784 |
| 0.5945        | 0.18  | 1450 | 0.5930          | 0.69     | 0.6902 |
| 0.5822        | 0.19  | 1500 | 0.5816          | 0.69     | 0.6902 |
| 0.5822        | 0.19  | 1550 | 0.5893          | 0.69     | 0.6902 |
| 0.5822        | 0.2   | 1600 | 0.5926          | 0.69     | 0.6905 |
| 0.5822        | 0.21  | 1650 | 0.5815          | 0.67     | 0.6705 |
| 0.5822        | 0.21  | 1700 | 0.6059          | 0.67     | 0.6689 |
| 0.5822        | 0.22  | 1750 | 0.5986          | 0.68     | 0.6794 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "Anwaarma/Merged-Server-praj", "model-index": [{"name": "S04-PC", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:Anwaarma/Merged-Server-praj autotrain_compatible endpoints_compatible region:us