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# deberta-v3-large-survey-related_passage_old_facts-rater-half

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: 1.5624
- Krippendorff: 0.3794
- Spearman: 0.3435
- Absolute Agreement: 0.4062
- Agreement Within One: 0.7861

## 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   | 52   | 1.9365          | -0.0890      | nan      | 0.0556             | 0.8056               |
| No log        | 2.0   | 104  | 1.9326          | -0.0890      | nan      | 0.0556             | 0.8056               |
| No log        | 3.0   | 156  | 1.9228          | -0.0890      | nan      | 0.0556             | 0.8056               |
| No log        | 4.0   | 208  | 1.9126          | -0.0877      | 0.4984   | 0.1944             | 1.0                  |
| No log        | 5.0   | 260  | 1.9189          | -0.6469      | nan      | 0.1111             | 1.0                  |
| No log        | 6.0   | 312  | 2.0824          | -0.2279      | -0.1497  | 0.0833             | 0.8333               |
| No log        | 7.0   | 364  | 1.9860          | 0.2622       | 0.2417   | 0.25               | 0.75                 |
| No log        | 8.0   | 416  | 2.0802          | 0.1900       | 0.1820   | 0.25               | 0.75                 |
| No log        | 9.0   | 468  | 2.0619          | 0.0491       | 0.0449   | 0.2222             | 0.6667               |
| 1.7502        | 10.0  | 520  | 2.1669          | 0.0262       | 0.0246   | 0.1944             | 0.6667               |
| 1.7502        | 11.0  | 572  | 2.1429          | 0.1729       | 0.1842   | 0.1944             | 0.7778               |
| 1.7502        | 12.0  | 624  | 2.1764          | 0.1142       | 0.1119   | 0.1944             | 0.75                 |
| 1.7502        | 13.0  | 676  | 2.2714          | 0.0331       | 0.0584   | 0.1944             | 0.6944               |
| 1.7502        | 14.0  | 728  | 2.3427          | 0.0491       | 0.0449   | 0.2222             | 0.6667               |
| 1.7502        | 15.0  | 780  | 2.4178          | 0.0574       | 0.0693   | 0.2222             | 0.6944               |
| 1.7502        | 16.0  | 832  | 2.4422          | 0.0851       | 0.1265   | 0.2222             | 0.6667               |
| 1.7502        | 17.0  | 884  | 2.4198          | 0.0325       | 0.0279   | 0.2222             | 0.6667               |
| 1.7502        | 18.0  | 936  | 2.5265          | -0.0681      | 0.0331   | 0.25               | 0.6667               |
| 1.7502        | 19.0  | 988  | 2.5210          | 0.0884       | 0.1860   | 0.1389             | 0.7222               |
| 1.1009        | 20.0  | 1040 | 2.7171          | 0.0389       | 0.0037   | 0.1667             | 0.7222               |


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