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# deberta-v3-large-survey-main_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: 1.4390
- Krippendorff: 0.4972
- Spearman: 0.4974
- Absolute Agreement: 0.4844
- Agreement Within One: 0.8570

## 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   | 1.9489          | -0.0572      | nan      | 0.1667             | 0.5833               |
| No log        | 2.0   | 104  | 1.9483          | -0.0608      | -0.0791  | 0.1667             | 0.6111               |
| No log        | 3.0   | 156  | 1.9444          | -0.5495      | nan      | 0.1111             | 1.0                  |
| No log        | 4.0   | 208  | 2.1263          | -0.5495      | nan      | 0.1111             | 1.0                  |
| No log        | 5.0   | 260  | 2.2829          | -0.4076      | 0.1579   | 0.1111             | 1.0                  |
| No log        | 6.0   | 312  | 2.2870          | 0.0319       | 0.0616   | 0.0556             | 0.8056               |
| No log        | 7.0   | 364  | 2.3453          | 0.0454       | 0.0249   | 0.1111             | 0.6389               |
| No log        | 8.0   | 416  | 2.3232          | 0.3221       | 0.4057   | 0.1389             | 0.7222               |
| No log        | 9.0   | 468  | 2.3513          | 0.1869       | 0.1724   | 0.1389             | 0.6944               |
| 1.6824        | 10.0  | 520  | 2.4464          | 0.0991       | 0.1127   | 0.1111             | 0.5833               |
| 1.6824        | 11.0  | 572  | 2.4476          | 0.1442       | 0.1686   | 0.1389             | 0.7222               |
| 1.6824        | 12.0  | 624  | 2.5256          | 0.1540       | 0.1749   | 0.1389             | 0.5833               |
| 1.6824        | 13.0  | 676  | 2.4603          | 0.1712       | 0.2838   | 0.1389             | 0.6111               |
| 1.6824        | 14.0  | 728  | 2.4946          | 0.1813       | 0.2605   | 0.1389             | 0.5833               |
| 1.6824        | 15.0  | 780  | 2.5813          | 0.1967       | 0.0884   | 0.1389             | 0.6667               |
| 1.6824        | 16.0  | 832  | 2.5669          | 0.2691       | 0.2109   | 0.1389             | 0.6944               |
| 1.6824        | 17.0  | 884  | 2.7042          | 0.2172       | 0.2790   | 0.1389             | 0.6667               |
| 1.6824        | 18.0  | 936  | 2.7246          | 0.2106       | 0.1372   | 0.1944             | 0.7778               |
| 1.6824        | 19.0  | 988  | 2.6691          | 0.1572       | 0.1922   | 0.1389             | 0.6111               |
| 1.0275        | 20.0  | 1040 | 2.8996          | 0.2056       | 0.2116   | 0.1667             | 0.6389               |


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