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# deberta-v3-large-survey-related_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: 0.2162
- Krippendorff: 0.7977
- Spearman: 0.8143
- Absolute Agreement: 0.9548
- Agreement Within One: 0.9786

## 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   | 2.0598          | -0.7589      | nan      | 0.0139             | 0.9861               |
| No log        | 2.0   | 100  | 2.0443          | -0.7589      | nan      | 0.0139             | 0.9861               |
| No log        | 3.0   | 150  | 2.0270          | -0.7589      | nan      | 0.0139             | 0.9861               |
| No log        | 4.0   | 200  | 1.8726          | -0.2279      | nan      | 0.4167             | 0.8333               |
| No log        | 5.0   | 250  | 2.4468          | -0.2279      | nan      | 0.4167             | 0.8333               |
| No log        | 6.0   | 300  | 2.6542          | -0.2279      | nan      | 0.4167             | 0.8333               |
| No log        | 7.0   | 350  | 2.9210          | -0.2279      | nan      | 0.4167             | 0.8333               |
| No log        | 8.0   | 400  | 2.8895          | -0.2279      | nan      | 0.4167             | 0.8333               |
| No log        | 9.0   | 450  | 3.0362          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.9688        | 10.0  | 500  | 3.2257          | -0.1554      | -0.0528  | 0.4028             | 0.8333               |
| 0.9688        | 11.0  | 550  | 3.4561          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.9688        | 12.0  | 600  | 3.6475          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.9688        | 13.0  | 650  | 4.0143          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.9688        | 14.0  | 700  | 3.9822          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.9688        | 15.0  | 750  | 3.7748          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.9688        | 16.0  | 800  | 4.2108          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.9688        | 17.0  | 850  | 4.3713          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.9688        | 18.0  | 900  | 4.5353          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.9688        | 19.0  | 950  | 4.6441          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.1831        | 20.0  | 1000 | 4.2640          | -0.2279      | nan      | 0.4167             | 0.8333               |


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