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# deberta-v3-large-survey-main_passage_consistency-rater-all

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: 0.2997
- Krippendorff: 0.8410
- Spearman: 0.8836
- Absolute Agreement: 0.9159
- Agreement Within One: 0.9689

## 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   | 55   | 1.8615          | -0.1925      | nan      | 0.0833             | 0.9167               |
| No log        | 2.0   | 110  | 1.8468          | -0.1925      | nan      | 0.0833             | 0.9167               |
| No log        | 3.0   | 165  | 1.6437          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 4.0   | 220  | 1.7843          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 5.0   | 275  | 1.7113          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 6.0   | 330  | 1.7359          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 7.0   | 385  | 1.6476          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 8.0   | 440  | 1.7123          | -0.2303      | nan      | 0.375              | 0.8194               |
| No log        | 9.0   | 495  | 1.4061          | 0.0832       | 0.5104   | 0.5139             | 0.8611               |
| 1.2442        | 10.0  | 550  | 1.3195          | 0.0876       | 0.3809   | 0.5694             | 0.8889               |
| 1.2442        | 11.0  | 605  | 1.3376          | 0.0832       | 0.5104   | 0.5139             | 0.8611               |
| 1.2442        | 12.0  | 660  | 1.3155          | 0.1081       | 0.5170   | 0.5556             | 0.875                |
| 1.2442        | 13.0  | 715  | 1.2785          | 0.0948       | 0.4189   | 0.5833             | 0.875                |
| 1.2442        | 14.0  | 770  | 1.2800          | 0.2312       | 0.3578   | 0.5556             | 0.9167               |
| 1.2442        | 15.0  | 825  | 1.2081          | 0.2878       | 0.5758   | 0.5833             | 0.8889               |
| 1.2442        | 16.0  | 880  | 1.1245          | 0.2891       | 0.4589   | 0.5556             | 0.9028               |
| 1.2442        | 17.0  | 935  | 1.1434          | 0.2492       | 0.3892   | 0.5833             | 0.8889               |
| 1.2442        | 18.0  | 990  | 1.0987          | 0.4771       | 0.3821   | 0.5556             | 0.9444               |
| 0.6135        | 19.0  | 1045 | 1.0792          | 0.2770       | 0.3877   | 0.5694             | 0.8889               |
| 0.6135        | 20.0  | 1100 | 0.9862          | 0.0948       | 0.4189   | 0.5833             | 0.875                |


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