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# deberta-v3-large-survey-new_fact_related_passage-rater-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: 0.2756
- Krippendorff: 0.9122
- Spearman: 0.9223
- Absolute Agreement: 0.9083
- Agreement Within One: 0.9774

## 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   | 50   | 1.9756          | -0.1842      | nan      | 0.0694             | 0.8194               |
| No log        | 2.0   | 100  | 1.9780          | -0.1842      | nan      | 0.0694             | 0.8194               |
| No log        | 3.0   | 150  | 1.9800          | -0.1842      | nan      | 0.0694             | 0.8194               |
| No log        | 4.0   | 200  | 1.9820          | -0.1842      | nan      | 0.0694             | 0.8194               |
| No log        | 5.0   | 250  | 2.1958          | -0.0858      | -0.1251  | 0.0278             | 0.7083               |
| No log        | 6.0   | 300  | 2.2100          | 0.0339       | 0.1339   | 0.0556             | 0.7361               |
| No log        | 7.0   | 350  | 2.2628          | 0.0091       | 0.2531   | 0.0972             | 0.8611               |
| No log        | 8.0   | 400  | 2.2684          | -0.2678      | 0.0357   | 0.1528             | 0.9167               |
| No log        | 9.0   | 450  | 2.2697          | -0.2678      | 0.0357   | 0.1528             | 0.9167               |
| 1.4007        | 10.0  | 500  | 2.5200          | -0.1996      | 0.0693   | 0.125              | 0.875                |
| 1.4007        | 11.0  | 550  | 2.4621          | -0.0241      | 0.1621   | 0.1667             | 0.8889               |
| 1.4007        | 12.0  | 600  | 2.7691          | -0.0280      | 0.1054   | 0.1528             | 0.8611               |
| 1.4007        | 13.0  | 650  | 2.6624          | 0.0140       | 0.1642   | 0.2083             | 0.8889               |
| 1.4007        | 14.0  | 700  | 2.7726          | 0.0826       | 0.1383   | 0.1389             | 0.8056               |
| 1.4007        | 15.0  | 750  | 3.2655          | 0.2014       | 0.2089   | 0.1389             | 0.7778               |
| 1.4007        | 16.0  | 800  | 3.3104          | 0.0622       | 0.2035   | 0.1667             | 0.8611               |
| 1.4007        | 17.0  | 850  | 3.3013          | 0.2135       | 0.2567   | 0.1806             | 0.8333               |
| 1.4007        | 18.0  | 900  | 3.0050          | 0.2975       | 0.2830   | 0.1667             | 0.7778               |
| 1.4007        | 19.0  | 950  | 3.4558          | 0.1430       | 0.2280   | 0.1667             | 0.8611               |
| 0.5598        | 20.0  | 1000 | 3.1088          | 0.2953       | 0.2430   | 0.1944             | 0.7917               |


### 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-new_fact_related_passage-rater-gpt4", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us