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# deberta-v3-large-survey-new_fact_main_passage-rater-all

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: 0.4022
- Krippendorff: 0.9131
- Spearman: 0.9193
- Absolute Agreement: 0.8813
- Agreement Within One: 0.9574

## 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   | 1.8492          | -0.3260      | nan      | 0.3056             | 0.5417               |
| No log        | 2.0   | 110  | 1.8419          | -0.3260      | nan      | 0.3056             | 0.5417               |
| No log        | 3.0   | 165  | 1.8290          | -0.3260      | nan      | 0.3056             | 0.5417               |
| No log        | 4.0   | 220  | 1.8453          | -0.5105      | nan      | 0.2222             | 1.0                  |
| No log        | 5.0   | 275  | 1.8697          | 0.2821       | 0.4280   | 0.3611             | 0.9722               |
| No log        | 6.0   | 330  | 1.7831          | 0.7914       | 0.7506   | 0.5                | 0.8611               |
| No log        | 7.0   | 385  | 1.6229          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| No log        | 8.0   | 440  | 1.5513          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| No log        | 9.0   | 495  | 1.4940          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 1.3624        | 10.0  | 550  | 1.4922          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 1.3624        | 11.0  | 605  | 1.8181          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 1.3624        | 12.0  | 660  | 1.3354          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 1.3624        | 13.0  | 715  | 1.2606          | 0.8700       | 0.8211   | 0.5694             | 0.8889               |
| 1.3624        | 14.0  | 770  | 1.2335          | 0.8811       | 0.8196   | 0.6528             | 0.9167               |
| 1.3624        | 15.0  | 825  | 1.1904          | 0.8798       | 0.7880   | 0.6528             | 0.9167               |
| 1.3624        | 16.0  | 880  | 1.1944          | 0.8827       | 0.7866   | 0.6389             | 0.9028               |
| 1.3624        | 17.0  | 935  | 1.1332          | 0.8797       | 0.7896   | 0.6389             | 0.9167               |
| 1.3624        | 18.0  | 990  | 1.1320          | 0.8910       | 0.8139   | 0.6111             | 0.9167               |
| 0.6121        | 19.0  | 1045 | 1.0814          | 0.8798       | 0.7918   | 0.625              | 0.9167               |
| 0.6121        | 20.0  | 1100 | 1.0480          | 0.8818       | 0.7861   | 0.6389             | 0.9028               |


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