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# deberta-v3-large-survey-related_passage_consistency-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: 0.7100
- Krippendorff: 0.5386
- Spearman: 0.5376
- Absolute Agreement: 0.7416
- Agreement Within One: 0.9062

## 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   | 2.0068          | -0.8382      | 0.2787   | 0.0                | 1.0                  |
| No log        | 2.0   | 104  | 1.9940          | -0.8214      | 0.2201   | 0.0                | 1.0                  |
| No log        | 3.0   | 156  | 1.9560          | -0.0763      | 0.2550   | 0.1667             | 0.9722               |
| No log        | 4.0   | 208  | 2.0356          | -0.3464      | nan      | 0.25               | 0.8889               |
| No log        | 5.0   | 260  | 2.2692          | -0.3464      | nan      | 0.25               | 0.8889               |
| No log        | 6.0   | 312  | 2.0392          | -0.3464      | nan      | 0.25               | 0.8889               |
| No log        | 7.0   | 364  | 2.2373          | -0.3464      | nan      | 0.25               | 0.8889               |
| No log        | 8.0   | 416  | 2.1509          | -0.3464      | nan      | 0.25               | 0.8889               |
| No log        | 9.0   | 468  | 2.1995          | -0.3464      | nan      | 0.25               | 0.8889               |
| 1.3238        | 10.0  | 520  | 2.2470          | -0.2831      | -0.2582  | 0.2222             | 0.8889               |
| 1.3238        | 11.0  | 572  | 2.6856          | -0.0211      | -0.0119  | 0.1944             | 0.9167               |
| 1.3238        | 12.0  | 624  | 2.8278          | -0.1707      | -0.2258  | 0.1111             | 0.9167               |
| 1.3238        | 13.0  | 676  | 2.8911          | -0.0941      | -0.2270  | 0.1667             | 0.9167               |
| 1.3238        | 14.0  | 728  | 2.5322          | -0.0560      | -0.1752  | 0.1667             | 0.9167               |
| 1.3238        | 15.0  | 780  | 2.6974          | -0.1705      | -0.1417  | 0.1389             | 0.9444               |
| 1.3238        | 16.0  | 832  | 3.1395          | -0.0871      | -0.1487  | 0.25               | 0.9167               |
| 1.3238        | 17.0  | 884  | 2.8212          | -0.1420      | -0.2250  | 0.2222             | 0.9444               |
| 1.3238        | 18.0  | 936  | 3.4453          | -0.1105      | -0.2704  | 0.2222             | 0.9167               |
| 1.3238        | 19.0  | 988  | 3.6874          | -0.1105      | -0.2704  | 0.2222             | 0.9167               |
| 0.5875        | 20.0  | 1040 | 4.2445          | -0.1094      | -0.2616  | 0.1944             | 0.9167               |


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