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# deberta-v3-large-survey-cross_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: 0.4020
- Krippendorff: 0.8066
- Spearman: 0.8930
- Absolute Agreement: 0.8848
- Agreement Within One: 0.9447

## 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   | 1.8997          | -0.2987      | 0.2073   | 0.0556             | 0.9028               |
| No log        | 2.0   | 110  | 1.8795          | -0.3017      | -0.0377  | 0.0833             | 0.9028               |
| No log        | 3.0   | 165  | 1.8738          | -0.0086      | 0.0516   | 0.2778             | 0.7778               |
| No log        | 4.0   | 220  | 1.8663          | -0.0943      | -0.0377  | 0.3472             | 0.7361               |
| No log        | 5.0   | 275  | 1.8618          | -0.0943      | -0.0377  | 0.3472             | 0.7361               |
| No log        | 6.0   | 330  | 2.0154          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 7.0   | 385  | 1.9047          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 8.0   | 440  | 1.7587          | -0.2704      | nan      | 0.3194             | 0.6667               |
| No log        | 9.0   | 495  | 1.6830          | -0.2704      | nan      | 0.3194             | 0.6667               |
| 1.409         | 10.0  | 550  | 1.6436          | -0.2704      | nan      | 0.3194             | 0.6667               |
| 1.409         | 11.0  | 605  | 1.6273          | -0.2704      | nan      | 0.3194             | 0.6667               |
| 1.409         | 12.0  | 660  | 1.5649          | -0.2505      | 0.1100   | 0.3333             | 0.6667               |
| 1.409         | 13.0  | 715  | 1.5027          | -0.0705      | 0.4448   | 0.4167             | 0.6806               |
| 1.409         | 14.0  | 770  | 1.5082          | 0.0375       | 0.4258   | 0.4028             | 0.6944               |
| 1.409         | 15.0  | 825  | 1.3945          | 0.0492       | 0.5924   | 0.4861             | 0.7083               |
| 1.409         | 16.0  | 880  | 1.3575          | 0.0458       | 0.5905   | 0.4861             | 0.6806               |
| 1.409         | 17.0  | 935  | 1.3444          | 0.0492       | 0.5924   | 0.4861             | 0.7083               |
| 1.409         | 18.0  | 990  | 1.2574          | 0.1791       | 0.5461   | 0.5278             | 0.7778               |
| 0.7706        | 19.0  | 1045 | 1.2676          | 0.0357       | 0.5486   | 0.5139             | 0.7361               |
| 0.7706        | 20.0  | 1100 | 1.2345          | 0.0376       | 0.5548   | 0.5278             | 0.7222               |


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