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# deberta-v3-large-survey-main_passage_old_facts-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: 0.8745
- Krippendorff: 0.8524
- Spearman: 0.8989
- Absolute Agreement: 0.6884
- Agreement Within One: 0.8920

## 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   | 1.9122          | -0.0152      | 0.1864   | 0.125              | 0.6111               |
| No log        | 2.0   | 100  | 1.9176          | -0.0371      | nan      | 0.1111             | 0.6111               |
| No log        | 3.0   | 150  | 1.9227          | -0.0371      | nan      | 0.1111             | 0.6111               |
| No log        | 4.0   | 200  | 1.9356          | -0.0954      | -0.1379  | 0.1111             | 0.6389               |
| No log        | 5.0   | 250  | 1.9920          | -0.2978      | -0.0494  | 0.0972             | 0.8472               |
| No log        | 6.0   | 300  | 2.1314          | -0.5514      | nan      | 0.1389             | 1.0                  |
| No log        | 7.0   | 350  | 2.1777          | -0.5514      | nan      | 0.1389             | 1.0                  |
| No log        | 8.0   | 400  | 2.1234          | -0.3703      | -0.0285  | 0.1528             | 0.9722               |
| No log        | 9.0   | 450  | 2.2162          | 0.0438       | 0.2051   | 0.1667             | 0.8889               |
| 1.668         | 10.0  | 500  | 2.3107          | 0.1264       | 0.1592   | 0.1806             | 0.8056               |
| 1.668         | 11.0  | 550  | 2.4563          | 0.1237       | 0.2624   | 0.1944             | 0.9028               |
| 1.668         | 12.0  | 600  | 2.3407          | 0.2258       | 0.3463   | 0.1944             | 0.8889               |
| 1.668         | 13.0  | 650  | 2.4742          | 0.2135       | 0.3764   | 0.1806             | 0.9167               |
| 1.668         | 14.0  | 700  | 2.4811          | 0.2573       | 0.3480   | 0.1944             | 0.9028               |
| 1.668         | 15.0  | 750  | 2.7594          | 0.1548       | 0.3436   | 0.2639             | 0.9306               |
| 1.668         | 16.0  | 800  | 2.7162          | 0.1895       | 0.2918   | 0.1944             | 0.9028               |
| 1.668         | 17.0  | 850  | 3.1360          | 0.1366       | 0.3226   | 0.2083             | 0.9306               |
| 1.668         | 18.0  | 900  | 3.3573          | -0.0208      | 0.3147   | 0.2361             | 0.9583               |
| 1.668         | 19.0  | 950  | 3.1412          | 0.0470       | 0.3046   | 0.2222             | 0.9306               |
| 0.9188        | 20.0  | 1000 | 3.2781          | 0.0503       | 0.3296   | 0.2222             | 0.9444               |


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