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# deberta-v3-large-survey-cross_passage_consistency-rater

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: 0.7975
- Krippendorff: 0.8130
- Spearman: 0.7989
- Absolute Agreement: 0.7098
- Agreement Within One: 0.9611

## 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   | 1.9513          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 2.0   | 100  | 1.9416          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 3.0   | 150  | 1.9243          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 4.0   | 200  | 1.9217          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 5.0   | 250  | 1.9121          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 6.0   | 300  | 1.9218          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 7.0   | 350  | 1.9141          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 8.0   | 400  | 1.9092          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 9.0   | 450  | 1.9494          | -0.2704      | nan      | 0.3194             | 0.6667               |
| 1.5396        | 10.0  | 500  | 1.9662          | -0.2704      | nan      | 0.3194             | 0.6667               |
| 1.5396        | 11.0  | 550  | 1.9316          | -0.2704      | nan      | 0.3194             | 0.6667               |
| 1.5396        | 12.0  | 600  | 2.0184          | -0.1677      | -0.1186  | 0.2639             | 0.6944               |
| 1.5396        | 13.0  | 650  | 2.1161          | 0.0265       | 0.0418   | 0.2778             | 0.7361               |
| 1.5396        | 14.0  | 700  | 2.2034          | -0.0280      | 0.0907   | 0.3056             | 0.7083               |
| 1.5396        | 15.0  | 750  | 2.0836          | 0.0557       | 0.0246   | 0.25               | 0.7778               |
| 1.5396        | 16.0  | 800  | 2.3149          | -0.2173      | -0.0959  | 0.1389             | 0.875                |
| 1.5396        | 17.0  | 850  | 2.1533          | 0.0382       | -0.0096  | 0.2639             | 0.7361               |
| 1.5396        | 18.0  | 900  | 2.4767          | -0.0468      | -0.0863  | 0.1806             | 0.8056               |
| 1.5396        | 19.0  | 950  | 2.5732          | -0.0733      | -0.0808  | 0.25               | 0.7083               |
| 0.8956        | 20.0  | 1000 | 2.7893          | -0.0008      | -0.0608  | 0.25               | 0.75                 |


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