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# deberta-v3-large-survey-topicality-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: 2.3050
- Krippendorff: -0.4955
- Spearman: -0.1556
- Absolute Agreement: 0.0433
- Agreement Within One: 0.9459

## 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   | 1.9069          | 0.0782       | 0.2354   | 0.5556             | 0.8889               |
| No log        | 2.0   | 104  | 1.9047          | 0.0782       | 0.2354   | 0.5556             | 0.8889               |
| No log        | 3.0   | 156  | 1.9737          | -0.0129      | -0.1799  | 0.4722             | 0.8611               |
| No log        | 4.0   | 208  | 2.2560          | -0.2433      | nan      | 0.2778             | 0.8333               |
| No log        | 5.0   | 260  | 2.4201          | -0.2433      | nan      | 0.2778             | 0.8333               |
| No log        | 6.0   | 312  | 2.3538          | -0.2433      | nan      | 0.2778             | 0.8333               |
| No log        | 7.0   | 364  | 2.3367          | -0.2433      | nan      | 0.2778             | 0.8333               |
| No log        | 8.0   | 416  | 2.3443          | -0.2433      | nan      | 0.2778             | 0.8333               |
| No log        | 9.0   | 468  | 2.0372          | -0.2469      | -0.2354  | 0.25               | 0.8333               |
| 1.2964        | 10.0  | 520  | 2.2058          | -0.2469      | -0.2354  | 0.25               | 0.8333               |
| 1.2964        | 11.0  | 572  | 2.2627          | -0.2433      | nan      | 0.2778             | 0.8333               |
| 1.2964        | 12.0  | 624  | 2.1503          | -0.1078      | 0.0520   | 0.2778             | 0.8333               |
| 1.2964        | 13.0  | 676  | 1.8854          | -0.1076      | 0.2098   | 0.2778             | 0.8333               |
| 1.2964        | 14.0  | 728  | 2.1130          | -0.1078      | 0.0520   | 0.2778             | 0.8333               |
| 1.2964        | 15.0  | 780  | 1.8515          | 0.0472       | 0.0751   | 0.2778             | 0.8611               |
| 1.2964        | 16.0  | 832  | 1.6744          | -0.0472      | 0.0208   | 0.3611             | 0.8611               |
| 1.2964        | 17.0  | 884  | 2.1802          | -0.1746      | -0.0231  | 0.3889             | 0.8333               |
| 1.2964        | 18.0  | 936  | 1.7570          | -0.1736      | 0.0034   | 0.3889             | 0.8333               |
| 1.2964        | 19.0  | 988  | 2.1582          | -0.1023      | -0.0053  | 0.3611             | 0.8333               |
| 0.6766        | 20.0  | 1040 | 2.1745          | -0.0290      | 0.2050   | 0.3611             | 0.8333               |


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