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# I04

This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3002
- Accuracy: 0.9
- F1: 0.9474

## 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: 4e-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   | 0.6880          | 0.55     | 0.3903 |
| No log        | 0.02  | 100  | 0.6922          | 0.55     | 0.5363 |
| No log        | 0.03  | 150  | 0.6968          | 0.45     | 0.2793 |
| No log        | 0.04  | 200  | 0.6739          | 0.65     | 0.6248 |
| No log        | 0.05  | 250  | 0.6772          | 0.56     | 0.5607 |
| No log        | 0.06  | 300  | 0.5690          | 0.66     | 0.6376 |
| No log        | 0.07  | 350  | 0.3598          | 0.94     | 0.9394 |
| No log        | 0.08  | 400  | 0.2702          | 0.94     | 0.9394 |
| No log        | 0.09  | 450  | 0.2370          | 0.94     | 0.9394 |
| 0.5566        | 0.1   | 500  | 0.2261          | 0.94     | 0.9394 |
| 0.5566        | 0.11  | 550  | 0.2183          | 0.94     | 0.9394 |
| 0.5566        | 0.12  | 600  | 0.2100          | 0.94     | 0.9394 |
| 0.5566        | 0.13  | 650  | 0.2019          | 0.94     | 0.9394 |
| 0.5566        | 0.14  | 700  | 0.1928          | 0.94     | 0.9394 |
| 0.5566        | 0.15  | 750  | 0.1872          | 0.94     | 0.9394 |


### Framework versions

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

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "prajjwal1/bert-tiny", "model-index": [{"name": "I04", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:prajjwal1/bert-tiny license:mit autotrain_compatible endpoints_compatible region:us