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# deberta-v3-large-survey-related_passage_consistency-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: 1.3095
- Krippendorff: -0.0639
- Spearman: 0.0591
- Absolute Agreement: 0.7123
- Agreement Within One: 0.8329

## 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   | 2.1499          | -0.8427      | nan      | 0.0139             | 1.0                  |
| No log        | 2.0   | 100  | 2.1327          | -0.8427      | nan      | 0.0139             | 1.0                  |
| No log        | 3.0   | 150  | 1.8683          | -0.0855      | -0.1710  | 0.2639             | 0.8611               |
| No log        | 4.0   | 200  | 1.8156          | -0.1732      | -0.0528  | 0.4028             | 0.8333               |
| No log        | 5.0   | 250  | 1.8418          | -0.2279      | nan      | 0.4167             | 0.8333               |
| No log        | 6.0   | 300  | 1.9273          | -0.2279      | nan      | 0.4167             | 0.8333               |
| No log        | 7.0   | 350  | 1.9087          | -0.1467      | -0.0757  | 0.3889             | 0.8333               |
| No log        | 8.0   | 400  | 1.9973          | -0.2279      | nan      | 0.4167             | 0.8333               |
| No log        | 9.0   | 450  | 1.9909          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 1.2375        | 10.0  | 500  | 2.0490          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 1.2375        | 11.0  | 550  | 2.0562          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 1.2375        | 12.0  | 600  | 2.1753          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 1.2375        | 13.0  | 650  | 2.1430          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 1.2375        | 14.0  | 700  | 2.6832          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 1.2375        | 15.0  | 750  | 2.1370          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 1.2375        | 16.0  | 800  | 2.4094          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 1.2375        | 17.0  | 850  | 2.8947          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 1.2375        | 18.0  | 900  | 2.6728          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 1.2375        | 19.0  | 950  | 2.9585          | -0.2279      | nan      | 0.4167             | 0.8333               |
| 0.5453        | 20.0  | 1000 | 3.1016          | -0.1962      | 0.0347   | 0.3889             | 0.8611               |


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