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# scenario-KD-SCR-DIV2-data-glue-rte-model-bert-base-uncased-run-2

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0173
- Accuracy: 0.5704

## 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: 32
- eval_batch_size: 32
- seed: 43
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6969

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 78   | 2.8405          | 0.5740   |
| No log        | 2.0   | 156  | 3.0222          | 0.5884   |
| No log        | 3.0   | 234  | 3.6758          | 0.5957   |
| No log        | 4.0   | 312  | 3.3529          | 0.5848   |
| No log        | 5.0   | 390  | 3.5788          | 0.5957   |
| No log        | 6.0   | 468  | 3.5644          | 0.6029   |
| 1.9843        | 7.0   | 546  | 3.8383          | 0.5848   |
| 1.9843        | 8.0   | 624  | 3.4349          | 0.5848   |
| 1.9843        | 9.0   | 702  | 3.4944          | 0.5993   |
| 1.9843        | 10.0  | 780  | 3.3436          | 0.5884   |
| 1.9843        | 11.0  | 858  | 4.0173          | 0.5704   |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.1.1
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "scenario-KD-SCR-DIV2-data-glue-rte-model-bert-base-uncased-run-2", "results": []}]}
transformers pytorch safetensors bert generated_from_trainer base_model:bert-base-uncased license:apache-2.0 endpoints_compatible region:us