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# deberta-v3-large-survey-related_passage_old_facts-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: 0.4433
- Krippendorff: 0.9228
- Spearman: 0.9300
- Absolute Agreement: 0.8687
- 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   | 1.8838          | -0.0125      | 0.1227   | 0.25               | 0.7361               |
| No log        | 2.0   | 110  | 1.8809          | -0.0125      | 0.1227   | 0.25               | 0.7361               |
| No log        | 3.0   | 165  | 1.8774          | -0.1004      | nan      | 0.2778             | 0.7083               |
| No log        | 4.0   | 220  | 1.8714          | -0.0611      | 0.0419   | 0.25               | 0.7222               |
| No log        | 5.0   | 275  | 1.8795          | 0.2639       | 0.3723   | 0.3056             | 0.875                |
| No log        | 6.0   | 330  | 1.8539          | -0.2880      | 0.1227   | 0.3056             | 0.5833               |
| No log        | 7.0   | 385  | 1.8261          | 0.4776       | 0.4872   | 0.3472             | 0.7917               |
| No log        | 8.0   | 440  | 1.7614          | 0.4363       | 0.4580   | 0.3611             | 0.75                 |
| No log        | 9.0   | 495  | 1.7462          | 0.4363       | 0.4977   | 0.3611             | 0.8056               |
| 1.7495        | 10.0  | 550  | 1.7122          | 0.4028       | 0.4614   | 0.375              | 0.7639               |
| 1.7495        | 11.0  | 605  | 1.7387          | 0.3566       | 0.4272   | 0.3611             | 0.8056               |
| 1.7495        | 12.0  | 660  | 1.7000          | 0.4377       | 0.4815   | 0.3611             | 0.8056               |
| 1.7495        | 13.0  | 715  | 1.5995          | 0.5463       | 0.5639   | 0.4028             | 0.8056               |
| 1.7495        | 14.0  | 770  | 1.5903          | 0.5178       | 0.5343   | 0.3889             | 0.7639               |
| 1.7495        | 15.0  | 825  | 1.6389          | 0.4298       | 0.4835   | 0.4028             | 0.7222               |
| 1.7495        | 16.0  | 880  | 1.5450          | 0.5642       | 0.5777   | 0.4583             | 0.7917               |
| 1.7495        | 17.0  | 935  | 1.5418          | 0.5031       | 0.5172   | 0.4444             | 0.7361               |
| 1.7495        | 18.0  | 990  | 1.5372          | 0.4530       | 0.4907   | 0.4583             | 0.75                 |
| 1.1446        | 19.0  | 1045 | 1.4613          | 0.5787       | 0.6183   | 0.4861             | 0.8194               |
| 1.1446        | 20.0  | 1100 | 1.4501          | 0.5984       | 0.6308   | 0.4861             | 0.8056               |


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