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# deberta-v3-large-survey-related_passage_consistency-rater-half-gpt4

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: 0.0922
- Krippendorff: 0.9507
- Spearman: 0.9810
- Absolute Agreement: 0.9748
- Agreement Within One: 0.9964

## 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   | 2.0495          | -0.3986      | nan      | 0.0833             | 0.9722               |
| No log        | 2.0   | 104  | 2.0425          | -0.3986      | nan      | 0.0833             | 0.9722               |
| No log        | 3.0   | 156  | 2.0507          | -0.3786      | -0.3801  | 0.1667             | 0.8889               |
| No log        | 4.0   | 208  | 2.6716          | -0.3464      | nan      | 0.25               | 0.8889               |
| No log        | 5.0   | 260  | 3.0110          | -0.3464      | nan      | 0.25               | 0.8889               |
| No log        | 6.0   | 312  | 2.9109          | -0.3464      | nan      | 0.25               | 0.8889               |
| No log        | 7.0   | 364  | 3.3403          | -0.3464      | nan      | 0.25               | 0.8889               |
| No log        | 8.0   | 416  | 2.6483          | -0.3464      | nan      | 0.25               | 0.8889               |
| No log        | 9.0   | 468  | 3.0075          | -0.3464      | nan      | 0.25               | 0.8889               |
| 0.8825        | 10.0  | 520  | 3.2051          | -0.3464      | nan      | 0.25               | 0.8889               |
| 0.8825        | 11.0  | 572  | 3.0661          | -0.3675      | -0.2582  | 0.2222             | 0.8889               |
| 0.8825        | 12.0  | 624  | 3.6486          | -0.3570      | -0.3583  | 0.2778             | 0.8889               |
| 0.8825        | 13.0  | 676  | 3.9220          | -0.3748      | -0.4156  | 0.2778             | 0.8889               |
| 0.8825        | 14.0  | 728  | 4.3003          | -0.3021      | -0.2901  | 0.3056             | 0.9167               |
| 0.8825        | 15.0  | 780  | 4.5146          | -0.3021      | -0.2901  | 0.3056             | 0.9167               |
| 0.8825        | 16.0  | 832  | 4.9068          | -0.2444      | -0.3129  | 0.25               | 0.9167               |
| 0.8825        | 17.0  | 884  | 4.8181          | -0.2444      | -0.3129  | 0.25               | 0.9167               |
| 0.8825        | 18.0  | 936  | 5.1541          | -0.2444      | -0.3129  | 0.25               | 0.9167               |
| 0.8825        | 19.0  | 988  | 4.4155          | -0.1643      | -0.2413  | 0.25               | 0.9167               |
| 0.2028        | 20.0  | 1040 | 5.5223          | -0.2687      | -0.3385  | 0.25               | 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-gpt4", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us