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# deberta-v3-large-survey-new_fact_related_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: 0.4933
- Krippendorff: 0.8215
- Spearman: 0.8423
- Absolute Agreement: 0.8468
- Agreement Within One: 0.9389

## 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   | 1.9220          | -0.5318      | nan      | 0.1806             | 1.0                  |
| No log        | 2.0   | 110  | 1.9208          | -0.5318      | nan      | 0.1806             | 1.0                  |
| No log        | 3.0   | 165  | 1.9200          | -0.5318      | nan      | 0.1806             | 1.0                  |
| No log        | 4.0   | 220  | 1.9197          | -0.5318      | nan      | 0.1806             | 1.0                  |
| No log        | 5.0   | 275  | 1.9655          | -0.5318      | nan      | 0.1806             | 1.0                  |
| No log        | 6.0   | 330  | 1.9944          | -0.4584      | -0.1731  | 0.1528             | 0.9167               |
| No log        | 7.0   | 385  | 1.9699          | -0.3160      | -0.3151  | 0.1389             | 0.6944               |
| No log        | 8.0   | 440  | 1.8888          | -0.3710      | -0.3364  | 0.1667             | 0.6806               |
| No log        | 9.0   | 495  | 1.8273          | 0.1437       | 0.2775   | 0.375              | 0.625                |
| 1.6819        | 10.0  | 550  | 1.7380          | -0.0391      | 0.1674   | 0.3472             | 0.5833               |
| 1.6819        | 11.0  | 605  | 1.6954          | -0.3105      | 0.0146   | 0.3333             | 0.5417               |
| 1.6819        | 12.0  | 660  | 1.6211          | 0.3129       | 0.3446   | 0.4028             | 0.6806               |
| 1.6819        | 13.0  | 715  | 1.5305          | 0.2303       | 0.4155   | 0.4028             | 0.625                |
| 1.6819        | 14.0  | 770  | 1.4929          | 0.3973       | 0.4054   | 0.4306             | 0.7083               |
| 1.6819        | 15.0  | 825  | 1.4731          | 0.3220       | 0.3517   | 0.4167             | 0.6806               |
| 1.6819        | 16.0  | 880  | 1.4963          | 0.0524       | 0.3087   | 0.3889             | 0.5972               |
| 1.6819        | 17.0  | 935  | 1.4038          | 0.3960       | 0.4802   | 0.4722             | 0.6944               |
| 1.6819        | 18.0  | 990  | 1.3351          | 0.5195       | 0.4801   | 0.5139             | 0.7778               |
| 0.9585        | 19.0  | 1045 | 1.3013          | 0.4739       | 0.5167   | 0.5139             | 0.7361               |
| 0.9585        | 20.0  | 1100 | 1.2788          | 0.4785       | 0.4990   | 0.4861             | 0.7361               |


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