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# deberta-v3-large-survey-main_passage_consistency-rater-all-gpt4

This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2267
- Krippendorff: 0.9473
- Spearman: 0.9280
- Absolute Agreement: 0.9286
- Agreement Within One: 0.9896

## 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: 6e-06
- 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
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Krippendorff | Spearman | Absolute Agreement | Agreement Within One |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:--------:|:------------------:|:--------------------:|
| No log        | 1.0   | 55   | 1.9958          | -0.2750      | -0.1177  | 0.2361             | 0.9583               |
| No log        | 2.0   | 110  | 1.9825          | -0.3122      | -0.1408  | 0.2222             | 0.9583               |
| No log        | 3.0   | 165  | 1.8124          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 4.0   | 220  | 2.2006          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 5.0   | 275  | 2.0086          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 6.0   | 330  | 1.9755          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 7.0   | 385  | 1.7607          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 8.0   | 440  | 1.7119          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 9.0   | 495  | 1.5061          | -0.2303      | nan      | 0.375              | 0.8194               |
| 1.1298        | 10.0  | 550  | 1.5980          | -0.2303      | nan      | 0.375              | 0.8194               |
| 1.1298        | 11.0  | 605  | 1.3121          | 0.1846       | 0.2912   | 0.375              | 0.8611               |
| 1.1298        | 12.0  | 660  | 1.3874          | 0.1465       | 0.4674   | 0.4167             | 0.8472               |
| 1.1298        | 13.0  | 715  | 1.2683          | 0.2376       | 0.3666   | 0.5139             | 0.9028               |
| 1.1298        | 14.0  | 770  | 1.2002          | 0.1714       | 0.3920   | 0.5278             | 0.9028               |
| 1.1298        | 15.0  | 825  | 1.2179          | 0.5302       | 0.4983   | 0.5417             | 0.9583               |
| 1.1298        | 16.0  | 880  | 1.2864          | 0.3380       | 0.5633   | 0.5556             | 0.8889               |
| 1.1298        | 17.0  | 935  | 1.1488          | 0.5258       | 0.5874   | 0.6111             | 0.9167               |
| 1.1298        | 18.0  | 990  | 1.1360          | 0.5455       | 0.5015   | 0.5556             | 0.9444               |
| 0.3876        | 19.0  | 1045 | 1.0601          | 0.5423       | 0.4674   | 0.5833             | 0.9306               |
| 0.3876        | 20.0  | 1100 | 1.0164          | 0.5400       | 0.4590   | 0.5694             | 0.9444               |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.12.1

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "deberta-v3-large-survey-main_passage_consistency-rater-all-gpt4", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us