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# deberta-v3-large-survey-main_passage_old_facts-rater

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: 0.5297
- Krippendorff: 0.9316
- Spearman: 0.9421
- Absolute Agreement: 0.8367
- Agreement Within One: 0.9271

## 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   | 2.0081          | -0.3387      | 0.1379   | 0.125              | 1.0                  |
| No log        | 2.0   | 100  | 1.9950          | -0.3387      | 0.1379   | 0.125              | 1.0                  |
| No log        | 3.0   | 150  | 1.9832          | -0.2518      | 0.0783   | 0.125              | 1.0                  |
| No log        | 4.0   | 200  | 1.9482          | -0.4725      | 0.0083   | 0.1389             | 0.9861               |
| No log        | 5.0   | 250  | 2.0418          | -0.5514      | nan      | 0.1389             | 1.0                  |
| No log        | 6.0   | 300  | 2.1032          | -0.5514      | nan      | 0.1389             | 1.0                  |
| No log        | 7.0   | 350  | 2.1151          | 0.2098       | 0.1986   | 0.1806             | 0.6528               |
| No log        | 8.0   | 400  | 2.1739          | 0.0597       | 0.2303   | 0.1806             | 0.9028               |
| No log        | 9.0   | 450  | 2.2600          | 0.0212       | 0.1446   | 0.1528             | 0.875                |
| 1.7148        | 10.0  | 500  | 2.1888          | 0.3454       | 0.3221   | 0.25               | 0.7917               |
| 1.7148        | 11.0  | 550  | 2.3269          | 0.3050       | 0.3196   | 0.1944             | 0.8333               |
| 1.7148        | 12.0  | 600  | 2.5569          | 0.1905       | 0.2657   | 0.1806             | 0.8611               |
| 1.7148        | 13.0  | 650  | 2.5631          | 0.2075       | 0.1730   | 0.1667             | 0.7222               |
| 1.7148        | 14.0  | 700  | 2.4919          | 0.2430       | 0.2573   | 0.2222             | 0.7083               |
| 1.7148        | 15.0  | 750  | 2.6314          | 0.3240       | 0.3371   | 0.25               | 0.7917               |
| 1.7148        | 16.0  | 800  | 2.6258          | 0.2891       | 0.3225   | 0.1944             | 0.6944               |
| 1.7148        | 17.0  | 850  | 3.0018          | 0.3293       | 0.3565   | 0.2361             | 0.8472               |
| 1.7148        | 18.0  | 900  | 3.0720          | 0.2096       | 0.2075   | 0.1806             | 0.7639               |
| 1.7148        | 19.0  | 950  | 3.4388          | 0.2703       | 0.2818   | 0.1944             | 0.7917               |
| 0.9808        | 20.0  | 1000 | 3.1775          | 0.2238       | 0.2103   | 0.1528             | 0.75                 |


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