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# deberta-v3-large-survey-related_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: 0.4609
- Krippendorff: 0.9507
- Spearman: 0.9543
- Absolute Agreement: 0.8790
- Agreement Within One: 0.9424

## 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   | 1.9175          | -0.5892      | -0.2660  | 0.0833             | 0.9583               |
| No log        | 2.0   | 110  | 1.9155          | -0.6559      | nan      | 0.0972             | 1.0                  |
| No log        | 3.0   | 165  | 1.9163          | -0.6559      | nan      | 0.0972             | 1.0                  |
| No log        | 4.0   | 220  | 1.9146          | -0.6559      | nan      | 0.0972             | 1.0                  |
| No log        | 5.0   | 275  | 1.9040          | -0.2400      | -0.1609  | 0.1389             | 0.7778               |
| No log        | 6.0   | 330  | 1.8582          | -0.3203      | nan      | 0.2778             | 0.5556               |
| No log        | 7.0   | 385  | 1.8332          | -0.3203      | nan      | 0.2778             | 0.5556               |
| No log        | 8.0   | 440  | 1.7830          | 0.4020       | 0.4309   | 0.3472             | 0.7222               |
| No log        | 9.0   | 495  | 1.7201          | 0.4242       | 0.4465   | 0.3472             | 0.7083               |
| 1.7718        | 10.0  | 550  | 1.7090          | 0.4242       | 0.4465   | 0.3472             | 0.7083               |
| 1.7718        | 11.0  | 605  | 1.7395          | 0.4927       | 0.4940   | 0.3611             | 0.7361               |
| 1.7718        | 12.0  | 660  | 1.6263          | 0.4151       | 0.4645   | 0.3472             | 0.6806               |
| 1.7718        | 13.0  | 715  | 1.5841          | 0.4799       | 0.5312   | 0.4028             | 0.7222               |
| 1.7718        | 14.0  | 770  | 1.5878          | 0.4969       | 0.4540   | 0.3611             | 0.75                 |
| 1.7718        | 15.0  | 825  | 1.5259          | 0.5079       | 0.5361   | 0.4028             | 0.7361               |
| 1.7718        | 16.0  | 880  | 1.7216          | 0.5194       | 0.5553   | 0.3889             | 0.75                 |
| 1.7718        | 17.0  | 935  | 1.6601          | 0.4413       | 0.5244   | 0.4028             | 0.6944               |
| 1.7718        | 18.0  | 990  | 1.6167          | 0.5381       | 0.5698   | 0.4722             | 0.7639               |
| 1.0304        | 19.0  | 1045 | 1.8458          | 0.4673       | 0.5520   | 0.4306             | 0.7083               |
| 1.0304        | 20.0  | 1100 | 1.5816          | 0.5537       | 0.6478   | 0.5278             | 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-related_passage_old_facts-rater-all-gpt4", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us