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# scenario-KD-PRE-DIV2-data-glue-stsb-model-bert-base-uncased

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: 0.9487
- Pearson: 0.8632
- Spearmanr: 0.8620

## 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: 42
- 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 | Pearson | Spearmanr |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
| No log        | 1.0   | 180  | 1.4092          | 0.8408  | 0.8347    |
| No log        | 2.0   | 360  | 1.1360          | 0.8550  | 0.8540    |
| 1.6045        | 3.0   | 540  | 1.0886          | 0.8540  | 0.8506    |
| 1.6045        | 4.0   | 720  | 1.0139          | 0.8593  | 0.8582    |
| 1.6045        | 5.0   | 900  | 1.0399          | 0.8592  | 0.8583    |
| 0.6442        | 6.0   | 1080 | 0.9744          | 0.8603  | 0.8619    |
| 0.6442        | 7.0   | 1260 | 0.9369          | 0.8670  | 0.8653    |
| 0.6442        | 8.0   | 1440 | 0.9633          | 0.8620  | 0.8609    |
| 0.5217        | 9.0   | 1620 | 0.9947          | 0.8604  | 0.8578    |
| 0.5217        | 10.0  | 1800 | 1.0249          | 0.8658  | 0.8646    |
| 0.5217        | 11.0  | 1980 | 0.9348          | 0.8659  | 0.8636    |
| 0.4663        | 12.0  | 2160 | 0.9487          | 0.8632  | 0.8620    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["spearmanr"], "base_model": "bert-base-uncased", "model-index": [{"name": "scenario-KD-PRE-DIV2-data-glue-stsb-model-bert-base-uncased", "results": []}]}
transformers safetensors bert generated_from_trainer base_model:bert-base-uncased license:apache-2.0 endpoints_compatible region:us