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# BP-S02andInt03

This model is a fine-tuned version of [Anwaarma/BP-test4](https://huggingface.co/Anwaarma/BP-test4) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4031
- Accuracy: 0.82
- F1: 0.8097

## 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: 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: 13

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 0.0   | 50   | 1.1241          | 0.54     | 0.4220 |
| No log        | 0.01  | 100  | 0.8697          | 0.51     | 0.4402 |
| No log        | 0.01  | 150  | 0.7063          | 0.37     | 0.3740 |
| No log        | 0.02  | 200  | 0.6895          | 0.51     | 0.4184 |
| No log        | 0.02  | 250  | 0.6880          | 0.52     | 0.4467 |
| No log        | 0.02  | 300  | 0.6874          | 0.52     | 0.4778 |
| No log        | 0.03  | 350  | 0.6842          | 0.52     | 0.4778 |
| No log        | 0.03  | 400  | 0.6889          | 0.5      | 0.4491 |
| No log        | 0.04  | 450  | 0.6727          | 0.55     | 0.5398 |
| 0.7977        | 0.04  | 500  | 0.6617          | 0.59     | 0.5877 |
| 0.7977        | 0.04  | 550  | 0.6514          | 0.59     | 0.5877 |
| 0.7977        | 0.05  | 600  | 0.6597          | 0.59     | 0.5877 |
| 0.7977        | 0.05  | 650  | 0.6322          | 0.59     | 0.5877 |
| 0.7977        | 0.06  | 700  | 0.5898          | 0.57     | 0.5655 |
| 0.7977        | 0.06  | 750  | 0.5406          | 0.7      | 0.7015 |
| 0.7977        | 0.06  | 800  | 0.4813          | 0.8      | 0.7862 |
| 0.7977        | 0.07  | 850  | 0.4706          | 0.8      | 0.7862 |
| 0.7977        | 0.07  | 900  | 0.4743          | 0.79     | 0.7768 |
| 0.7977        | 0.08  | 950  | 0.4578          | 0.8      | 0.7862 |
| 0.5646        | 0.08  | 1000 | 0.4571          | 0.8      | 0.7862 |
| 0.5646        | 0.08  | 1050 | 0.4536          | 0.8      | 0.7862 |
| 0.5646        | 0.09  | 1100 | 0.4461          | 0.8      | 0.7862 |
| 0.5646        | 0.09  | 1150 | 0.4451          | 0.8      | 0.7862 |
| 0.5646        | 0.1   | 1200 | 0.4398          | 0.81     | 0.7956 |
| 0.5646        | 0.1   | 1250 | 0.4360          | 0.8      | 0.7862 |
| 0.5646        | 0.1   | 1300 | 0.4325          | 0.81     | 0.7956 |
| 0.5646        | 0.11  | 1350 | 0.4316          | 0.81     | 0.7956 |
| 0.5646        | 0.11  | 1400 | 0.4310          | 0.81     | 0.7956 |
| 0.5646        | 0.12  | 1450 | 0.4301          | 0.81     | 0.7956 |
| 0.4672        | 0.12  | 1500 | 0.4275          | 0.81     | 0.7956 |
| 0.4672        | 0.12  | 1550 | 0.4271          | 0.8      | 0.7862 |
| 0.4672        | 0.13  | 1600 | 0.4258          | 0.81     | 0.7956 |
| 0.4672        | 0.13  | 1650 | 0.4211          | 0.81     | 0.7956 |
| 0.4672        | 0.14  | 1700 | 0.4154          | 0.82     | 0.8097 |
| 0.4672        | 0.14  | 1750 | 0.4153          | 0.81     | 0.7956 |
| 0.4672        | 0.14  | 1800 | 0.4120          | 0.81     | 0.7956 |
| 0.4672        | 0.15  | 1850 | 0.4134          | 0.8      | 0.7862 |
| 0.4672        | 0.15  | 1900 | 0.4119          | 0.8      | 0.7862 |
| 0.4672        | 0.16  | 1950 | 0.4119          | 0.82     | 0.8097 |
| 0.4371        | 0.16  | 2000 | 0.4094          | 0.82     | 0.8097 |
| 0.4371        | 0.16  | 2050 | 0.4113          | 0.82     | 0.8097 |
| 0.4371        | 0.17  | 2100 | 0.4136          | 0.83     | 0.8259 |
| 0.4371        | 0.17  | 2150 | 0.4096          | 0.82     | 0.8097 |
| 0.4371        | 0.18  | 2200 | 0.4116          | 0.82     | 0.8097 |
| 0.4371        | 0.18  | 2250 | 0.4039          | 0.82     | 0.8097 |
| 0.4371        | 0.18  | 2300 | 0.4044          | 0.82     | 0.8097 |
| 0.4371        | 0.19  | 2350 | 0.4031          | 0.82     | 0.8097 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "Anwaarma/BP-test4", "model-index": [{"name": "BP-S02andInt03", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:Anwaarma/BP-test4 license:mit autotrain_compatible endpoints_compatible region:us