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# deberta-v3-large-survey-topicality-rater-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: 1.0013
- Krippendorff: -0.0825
- Spearman: 0.0965
- Absolute Agreement: 0.7324
- Agreement Within One: 0.7663

## 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   | 50   | 2.0331          | -0.7817      | nan      | 0.0417             | 1.0                  |
| No log        | 2.0   | 100  | 2.0130          | -0.6164      | -0.0607  | 0.0694             | 0.9722               |
| No log        | 3.0   | 150  | 1.9945          | -0.5886      | -0.1318  | 0.0694             | 0.9583               |
| No log        | 4.0   | 200  | 1.9436          | 0.0270       | 0.1344   | 0.375              | 0.8194               |
| No log        | 5.0   | 250  | 2.0502          | -0.2309      | nan      | 0.3889             | 0.7917               |
| No log        | 6.0   | 300  | 1.9935          | -0.1983      | -0.0674  | 0.375              | 0.7917               |
| No log        | 7.0   | 350  | 2.1089          | -0.2309      | nan      | 0.3889             | 0.7917               |
| No log        | 8.0   | 400  | 2.0967          | -0.2309      | nan      | 0.3889             | 0.7917               |
| No log        | 9.0   | 450  | 2.0218          | -0.2309      | nan      | 0.3889             | 0.7917               |
| 1.183         | 10.0  | 500  | 2.4122          | -0.2309      | nan      | 0.3889             | 0.7917               |
| 1.183         | 11.0  | 550  | 2.1673          | -0.2358      | -0.1152  | 0.2361             | 0.8194               |
| 1.183         | 12.0  | 600  | 2.3777          | -0.1719      | -0.1368  | 0.2778             | 0.8056               |
| 1.183         | 13.0  | 650  | 2.7792          | -0.0861      | 0.1326   | 0.3889             | 0.8056               |
| 1.183         | 14.0  | 700  | 2.5054          | -0.1648      | -0.0297  | 0.2778             | 0.8194               |
| 1.183         | 15.0  | 750  | 3.0246          | -0.0957      | -0.0114  | 0.3611             | 0.7917               |
| 1.183         | 16.0  | 800  | 2.9566          | -0.0535      | 0.0724   | 0.375              | 0.8056               |
| 1.183         | 17.0  | 850  | 3.1392          | -0.0757      | 0.0155   | 0.3472             | 0.8056               |
| 1.183         | 18.0  | 900  | 3.0966          | -0.1148      | -0.0379  | 0.3194             | 0.8056               |
| 1.183         | 19.0  | 950  | 3.0304          | -0.1374      | -0.0884  | 0.3056             | 0.8056               |
| 0.6319        | 20.0  | 1000 | 2.7780          | 0.0069       | 0.1298   | 0.3611             | 0.8194               |


### 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-gpt4", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us