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# deberta-v3-large-survey-new_fact_main_passage-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: 0.5088
- Krippendorff: 0.8691
- Spearman: 0.8893
- Absolute Agreement: 0.8706
- Agreement Within One: 0.9108

## 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   | 1.9589          | -0.0190      | 0.0341   | 0.2222             | 0.625                |
| No log        | 2.0   | 100  | 1.9500          | -0.1769      | -0.0116  | 0.2639             | 0.5972               |
| No log        | 3.0   | 150  | 1.8211          | -0.5105      | nan      | 0.2222             | 1.0                  |
| No log        | 4.0   | 200  | 2.0070          | -0.5105      | nan      | 0.2222             | 1.0                  |
| No log        | 5.0   | 250  | 2.0851          | -0.5105      | nan      | 0.2222             | 1.0                  |
| No log        | 6.0   | 300  | 2.2159          | -0.5105      | nan      | 0.2222             | 1.0                  |
| No log        | 7.0   | 350  | 1.8615          | 0.8096       | 0.7617   | 0.5139             | 0.8889               |
| No log        | 8.0   | 400  | 1.8606          | 0.8096       | 0.7617   | 0.5139             | 0.8889               |
| No log        | 9.0   | 450  | 1.8884          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 1.1332        | 10.0  | 500  | 1.9244          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 1.1332        | 11.0  | 550  | 2.0776          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 1.1332        | 12.0  | 600  | 2.0743          | 0.7895       | 0.7588   | 0.5139             | 0.9028               |
| 1.1332        | 13.0  | 650  | 2.4128          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 1.1332        | 14.0  | 700  | 2.3573          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 1.1332        | 15.0  | 750  | 2.5649          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 1.1332        | 16.0  | 800  | 2.6585          | 0.8557       | 0.7757   | 0.5                | 0.8889               |
| 1.1332        | 17.0  | 850  | 2.5906          | 0.8468       | 0.7476   | 0.4861             | 0.9028               |
| 1.1332        | 18.0  | 900  | 2.8373          | 0.7888       | 0.7023   | 0.4722             | 0.9028               |
| 1.1332        | 19.0  | 950  | 3.3194          | 0.8650       | 0.8167   | 0.5278             | 0.8889               |
| 0.3298        | 20.0  | 1000 | 3.0140          | 0.8008       | 0.7301   | 0.4861             | 0.9167               |


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