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# deberta-v3-large-survey-topicality-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: 0.3518
- Krippendorff: 0.9652
- Spearman: 0.9370
- Absolute Agreement: 0.8894
- Agreement Within One: 0.9620

## 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   | 2.0618          | -0.7525      | -0.0087  | 0.0556             | 1.0                  |
| No log        | 2.0   | 110  | 2.0354          | -0.7525      | -0.0087  | 0.0556             | 1.0                  |
| No log        | 3.0   | 165  | 2.0026          | -0.5886      | -0.1318  | 0.0694             | 0.9583               |
| No log        | 4.0   | 220  | 1.7124          | -0.2309      | nan      | 0.3889             | 0.7917               |
| No log        | 5.0   | 275  | 1.6319          | -0.2309      | nan      | 0.3889             | 0.7917               |
| No log        | 6.0   | 330  | 1.5901          | -0.2309      | nan      | 0.3889             | 0.7917               |
| No log        | 7.0   | 385  | 1.5246          | -0.2309      | nan      | 0.3889             | 0.7917               |
| No log        | 8.0   | 440  | 1.4971          | -0.2309      | nan      | 0.3889             | 0.7917               |
| No log        | 9.0   | 495  | 1.4743          | -0.2326      | -0.0674  | 0.3889             | 0.7917               |
| 1.542         | 10.0  | 550  | 1.4066          | -0.1165      | 0.2492   | 0.4722             | 0.8194               |
| 1.542         | 11.0  | 605  | 1.5851          | -0.2309      | nan      | 0.3889             | 0.7917               |
| 1.542         | 12.0  | 660  | 1.3221          | 0.3168       | 0.3679   | 0.5694             | 0.8611               |
| 1.542         | 13.0  | 715  | 1.3178          | 0.0006       | 0.3335   | 0.5833             | 0.8472               |
| 1.542         | 14.0  | 770  | 1.3719          | 0.0210       | 0.4729   | 0.5556             | 0.8472               |
| 1.542         | 15.0  | 825  | 1.3791          | 0.0031       | 0.4388   | 0.5417             | 0.8333               |
| 1.542         | 16.0  | 880  | 1.2066          | 0.3881       | 0.5206   | 0.6389             | 0.875                |
| 1.542         | 17.0  | 935  | 1.2682          | 0.3882       | 0.5709   | 0.5833             | 0.875                |
| 1.542         | 18.0  | 990  | 1.1614          | 0.3845       | 0.4319   | 0.6111             | 0.875                |
| 0.8142        | 19.0  | 1045 | 1.1435          | 0.3919       | 0.5426   | 0.6389             | 0.875                |
| 0.8142        | 20.0  | 1100 | 1.0325          | 0.3527       | 0.5206   | 0.6528             | 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-topicality-rater-all", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us