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# deberta-v3-large-survey-fluency-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: 1.3349
- Krippendorff: 0.4934
- Spearman: 0.5298
- Absolute Agreement: 0.4862
- Agreement Within One: 0.8631

## 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   | 1.9418          | -0.2790      | -0.0817  | 0.0417             | 0.9306               |
| No log        | 2.0   | 100  | 1.9563          | -0.3968      | -0.3236  | 0.0417             | 0.8889               |
| No log        | 3.0   | 150  | 1.9360          | -0.2790      | -0.0817  | 0.0417             | 0.9306               |
| No log        | 4.0   | 200  | 1.9826          | -0.3968      | -0.3236  | 0.0417             | 0.8889               |
| No log        | 5.0   | 250  | 1.9908          | -0.3665      | -0.3871  | 0.0556             | 0.7917               |
| No log        | 6.0   | 300  | 1.8144          | -0.2888      | -0.1075  | 0.2778             | 0.7222               |
| No log        | 7.0   | 350  | 1.9314          | -0.1378      | -0.0729  | 0.2639             | 0.75                 |
| No log        | 8.0   | 400  | 2.0468          | -0.3631      | -0.3911  | 0.1389             | 0.75                 |
| No log        | 9.0   | 450  | 2.0021          | -0.1594      | -0.1099  | 0.25               | 0.7639               |
| 1.536         | 10.0  | 500  | 2.0445          | -0.2759      | -0.1253  | 0.2639             | 0.7222               |
| 1.536         | 11.0  | 550  | 1.9957          | -0.1583      | -0.1012  | 0.2361             | 0.7917               |
| 1.536         | 12.0  | 600  | 2.0293          | -0.2232      | -0.1460  | 0.25               | 0.7639               |
| 1.536         | 13.0  | 650  | 2.0920          | -0.2296      | -0.2063  | 0.1667             | 0.8056               |
| 1.536         | 14.0  | 700  | 2.2456          | -0.2580      | -0.3090  | 0.2083             | 0.75                 |
| 1.536         | 15.0  | 750  | 2.2635          | -0.1791      | -0.1913  | 0.2778             | 0.75                 |
| 1.536         | 16.0  | 800  | 2.4517          | -0.1779      | -0.2208  | 0.25               | 0.7639               |
| 1.536         | 17.0  | 850  | 2.5741          | -0.2354      | -0.3037  | 0.2361             | 0.7361               |
| 1.536         | 18.0  | 900  | 2.6429          | -0.1990      | -0.2052  | 0.2361             | 0.7639               |
| 1.536         | 19.0  | 950  | 2.8684          | -0.2073      | -0.2513  | 0.1944             | 0.7639               |
| 0.7381        | 20.0  | 1000 | 2.9184          | -0.2585      | -0.2424  | 0.2639             | 0.7361               |


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