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# dbw-bert-large-1.1

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0263

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0616        | 0.09  | 100  | 0.0571          |
| 0.0516        | 0.18  | 200  | 0.0438          |
| 0.0417        | 0.27  | 300  | 0.0349          |
| 0.0372        | 0.36  | 400  | 0.0319          |
| 0.0317        | 0.44  | 500  | 0.0306          |
| 0.0309        | 0.53  | 600  | 0.0294          |
| 0.0287        | 0.62  | 700  | 0.0286          |
| 0.029         | 0.71  | 800  | 0.0273          |
| 0.0351        | 0.8   | 900  | 0.0265          |
| 0.0252        | 0.89  | 1000 | 0.0262          |
| 0.0226        | 0.98  | 1100 | 0.0263          |


### 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"], "base_model": "bert-large-uncased", "model-index": [{"name": "dbw-bert-large-1.1", "results": []}]}
transformers safetensors bert fill-mask generated_from_trainer base_model:bert-large-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us