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# deberta-v3-large-survey-cross_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: 1.0573
- Krippendorff: 0.4586
- Spearman: 0.5618
- Absolute Agreement: 0.5998
- Agreement Within One: 0.8329

## 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   | 1.9484          | -0.5991      | nan      | 0.0556             | 0.9444               |
| No log        | 2.0   | 104  | 1.9398          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 3.0   | 156  | 1.9260          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 4.0   | 208  | 1.8968          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 5.0   | 260  | 1.8802          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 6.0   | 312  | 1.8309          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 7.0   | 364  | 1.6589          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 8.0   | 416  | 1.6742          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 9.0   | 468  | 1.6656          | -0.2860      | nan      | 0.1944             | 0.8056               |
| 1.6           | 10.0  | 520  | 1.7079          | -0.2860      | nan      | 0.1944             | 0.8056               |
| 1.6           | 11.0  | 572  | 1.6637          | 0.1484       | 0.3809   | 0.2222             | 0.8611               |
| 1.6           | 12.0  | 624  | 1.7648          | 0.2090       | 0.3805   | 0.1944             | 0.8611               |
| 1.6           | 13.0  | 676  | 1.7977          | 0.1883       | 0.2847   | 0.1944             | 0.8611               |
| 1.6           | 14.0  | 728  | 1.7721          | 0.1318       | 0.2740   | 0.2222             | 0.8611               |
| 1.6           | 15.0  | 780  | 1.8407          | 0.1016       | 0.3029   | 0.1944             | 0.9167               |
| 1.6           | 16.0  | 832  | 2.0453          | 0.0511       | 0.3390   | 0.1667             | 0.9444               |
| 1.6           | 17.0  | 884  | 2.2179          | 0.0627       | 0.2884   | 0.1944             | 0.8889               |
| 1.6           | 18.0  | 936  | 2.4460          | -0.0871      | 0.1837   | 0.1667             | 0.9444               |
| 1.6           | 19.0  | 988  | 2.6015          | -0.0013      | 0.1986   | 0.1667             | 0.9167               |
| 0.916         | 20.0  | 1040 | 2.7929          | 0.0299       | 0.2457   | 0.2222             | 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-cross_passage_consistency-rater-half", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us