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# deberta-v3-large-survey-main_passage_old_facts-rater-all-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: 0.7151
- Krippendorff: 0.8837
- Spearman: 0.9031
- Absolute Agreement: 0.7615
- Agreement Within One: 0.9320

## 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   | 1.9126          | -0.4378      | 0.1864   | 0.1528             | 1.0                  |
| No log        | 2.0   | 110  | 1.9170          | -0.5514      | nan      | 0.1389             | 1.0                  |
| No log        | 3.0   | 165  | 1.9480          | -0.5514      | nan      | 0.1389             | 1.0                  |
| No log        | 4.0   | 220  | 2.1324          | -0.5514      | nan      | 0.1389             | 1.0                  |
| No log        | 5.0   | 275  | 2.0791          | -0.5514      | nan      | 0.1389             | 1.0                  |
| No log        | 6.0   | 330  | 2.0516          | -0.5514      | nan      | 0.1389             | 1.0                  |
| No log        | 7.0   | 385  | 2.0073          | -0.4410      | -0.0554  | 0.1667             | 0.9861               |
| No log        | 8.0   | 440  | 2.0510          | 0.0412       | 0.2417   | 0.1806             | 0.9306               |
| No log        | 9.0   | 495  | 1.8581          | 0.3416       | 0.3139   | 0.2083             | 0.75                 |
| 1.6735        | 10.0  | 550  | 1.9075          | 0.3730       | 0.3806   | 0.2083             | 0.8056               |
| 1.6735        | 11.0  | 605  | 1.8024          | 0.5377       | 0.5418   | 0.2222             | 0.7917               |
| 1.6735        | 12.0  | 660  | 1.8039          | 0.5034       | 0.4816   | 0.2361             | 0.7917               |
| 1.6735        | 13.0  | 715  | 1.7669          | 0.5795       | 0.5456   | 0.3611             | 0.875                |
| 1.6735        | 14.0  | 770  | 1.7351          | 0.5956       | 0.5678   | 0.375              | 0.8194               |
| 1.6735        | 15.0  | 825  | 1.6817          | 0.5321       | 0.4698   | 0.3333             | 0.8056               |
| 1.6735        | 16.0  | 880  | 1.5989          | 0.5717       | 0.5629   | 0.3889             | 0.8056               |
| 1.6735        | 17.0  | 935  | 1.6268          | 0.5621       | 0.5687   | 0.375              | 0.7917               |
| 1.6735        | 18.0  | 990  | 1.5200          | 0.5958       | 0.5848   | 0.3889             | 0.8472               |
| 1.0164        | 19.0  | 1045 | 1.5787          | 0.5202       | 0.5297   | 0.4444             | 0.75                 |
| 1.0164        | 20.0  | 1100 | 1.4346          | 0.5484       | 0.5457   | 0.4722             | 0.7778               |


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