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# deberta-v3-large-survey-new_fact_main_passage-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: 0.7963
- Krippendorff: 0.7388
- Spearman: 0.7347
- Absolute Agreement: 0.7961
- Agreement Within One: 0.9401

## 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   | 1.8840          | -0.1735      | 0.1672   | 0.3194             | 0.5694               |
| No log        | 2.0   | 110  | 1.8714          | 0.3325       | 0.2924   | 0.3472             | 0.8333               |
| No log        | 3.0   | 165  | 1.8455          | 0.3427       | 0.4616   | 0.375              | 0.9722               |
| No log        | 4.0   | 220  | 1.8345          | -0.3980      | 0.1275   | 0.2361             | 1.0                  |
| No log        | 5.0   | 275  | 1.8686          | 0.5029       | 0.5400   | 0.4306             | 0.9306               |
| No log        | 6.0   | 330  | 1.6423          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| No log        | 7.0   | 385  | 1.6656          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| No log        | 8.0   | 440  | 1.6436          | 0.8626       | 0.8162   | 0.5278             | 0.875                |
| No log        | 9.0   | 495  | 1.5656          | 0.8626       | 0.8162   | 0.5278             | 0.875                |
| 1.2212        | 10.0  | 550  | 1.5328          | 0.7676       | 0.7513   | 0.5139             | 0.8611               |
| 1.2212        | 11.0  | 605  | 1.5906          | 0.8626       | 0.8162   | 0.5278             | 0.875                |
| 1.2212        | 12.0  | 660  | 1.3500          | 0.7795       | 0.7681   | 0.5278             | 0.8611               |
| 1.2212        | 13.0  | 715  | 1.1828          | 0.8324       | 0.7641   | 0.5972             | 0.875                |
| 1.2212        | 14.0  | 770  | 1.3495          | 0.7277       | 0.7280   | 0.5694             | 0.9028               |
| 1.2212        | 15.0  | 825  | 1.2211          | 0.8510       | 0.7811   | 0.6111             | 0.8889               |
| 1.2212        | 16.0  | 880  | 1.1597          | 0.8487       | 0.7714   | 0.625              | 0.875                |
| 1.2212        | 17.0  | 935  | 1.3074          | 0.8454       | 0.8281   | 0.625              | 0.875                |
| 1.2212        | 18.0  | 990  | 1.1712          | 0.8548       | 0.8057   | 0.625              | 0.875                |
| 0.4567        | 19.0  | 1045 | 1.0816          | 0.8484       | 0.8103   | 0.6389             | 0.875                |
| 0.4567        | 20.0  | 1100 | 1.0759          | 0.8537       | 0.8038   | 0.6111             | 0.8889               |


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