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# deberta-v3-large-survey-cross_passage_consistency-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: 0.4075
- Krippendorff: 0.7501
- Spearman: 0.8372
- Absolute Agreement: 0.8907
- Agreement Within One: 0.9799

## 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   | 2.0452          | 0.0001       | nan      | 0.0694             | 0.7778               |
| No log        | 2.0   | 100  | 2.0337          | 0.0175       | 0.0377   | 0.0694             | 0.7778               |
| No log        | 3.0   | 150  | 2.0273          | -0.0372      | -0.0377  | 0.0972             | 0.7778               |
| No log        | 4.0   | 200  | 2.0939          | -0.1244      | -0.1615  | 0.125              | 0.7083               |
| No log        | 5.0   | 250  | 2.1835          | -0.1887      | 0.2306   | 0.3194             | 0.6667               |
| No log        | 6.0   | 300  | 2.1351          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 7.0   | 350  | 2.2556          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 8.0   | 400  | 2.2676          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 9.0   | 450  | 2.3103          | -0.2704      | nan      | 0.3194             | 0.6667               |
| 1.3588        | 10.0  | 500  | 2.2637          | -0.2704      | nan      | 0.3194             | 0.6667               |
| 1.3588        | 11.0  | 550  | 2.3671          | -0.2354      | -0.1828  | 0.25               | 0.6806               |
| 1.3588        | 12.0  | 600  | 2.1781          | -0.2919      | -0.2073  | 0.2917             | 0.6667               |
| 1.3588        | 13.0  | 650  | 2.1614          | -0.1676      | 0.0113   | 0.2917             | 0.6806               |
| 1.3588        | 14.0  | 700  | 2.4461          | -0.1539      | -0.0635  | 0.2917             | 0.6806               |
| 1.3588        | 15.0  | 750  | 2.4148          | -0.0466      | 0.0219   | 0.3056             | 0.6944               |
| 1.3588        | 16.0  | 800  | 2.4528          | -0.0885      | -0.0518  | 0.2361             | 0.6806               |
| 1.3588        | 17.0  | 850  | 2.4096          | -0.0964      | 0.1186   | 0.3194             | 0.6806               |
| 1.3588        | 18.0  | 900  | 2.3058          | 0.1768       | 0.2017   | 0.3056             | 0.7639               |
| 1.3588        | 19.0  | 950  | 2.5967          | -0.1308      | -0.0542  | 0.3056             | 0.6944               |
| 0.6327        | 20.0  | 1000 | 3.1201          | -0.1148      | 0.0260   | 0.3194             | 0.6806               |


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