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# deberta-v3-large-survey-fluency-rater-all

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: 0.7178
- Krippendorff: 0.9045
- Spearman: 0.8801
- Absolute Agreement: 0.7396
- Agreement Within One: 0.9608

## 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   | 2.0214          | -0.6902      | 0.2469   | 0.0139             | 1.0                  |
| No log        | 2.0   | 110  | 2.0118          | -0.6398      | 0.1978   | 0.0278             | 1.0                  |
| No log        | 3.0   | 165  | 2.0147          | -0.6585      | -0.0351  | 0.0278             | 0.9583               |
| No log        | 4.0   | 220  | 2.0186          | -0.6499      | -0.1548  | 0.0139             | 0.9306               |
| No log        | 5.0   | 275  | 1.7283          | -0.2880      | nan      | 0.2917             | 0.7222               |
| No log        | 6.0   | 330  | 1.7079          | -0.2454      | 0.1527   | 0.3056             | 0.7222               |
| No log        | 7.0   | 385  | 1.6519          | -0.0919      | -0.0671  | 0.3889             | 0.7639               |
| No log        | 8.0   | 440  | 1.6403          | 0.1140       | -0.0254  | 0.4028             | 0.7778               |
| No log        | 9.0   | 495  | 1.6711          | -0.1939      | -0.0213  | 0.3333             | 0.75                 |
| 1.5874        | 10.0  | 550  | 1.6714          | -0.0236      | 0.1527   | 0.3056             | 0.7361               |
| 1.5874        | 11.0  | 605  | 1.5761          | -0.0843      | -0.1552  | 0.4028             | 0.7639               |
| 1.5874        | 12.0  | 660  | 1.4782          | 0.2760       | 0.1495   | 0.4444             | 0.7917               |
| 1.5874        | 13.0  | 715  | 1.4679          | 0.1322       | -0.0231  | 0.4028             | 0.7778               |
| 1.5874        | 14.0  | 770  | 1.4314          | 0.1322       | -0.0231  | 0.4028             | 0.7778               |
| 1.5874        | 15.0  | 825  | 1.3915          | 0.3094       | 0.2541   | 0.4583             | 0.7917               |
| 1.5874        | 16.0  | 880  | 1.3383          | 0.3143       | 0.3726   | 0.4583             | 0.7917               |
| 1.5874        | 17.0  | 935  | 1.2967          | 0.1861       | 0.3025   | 0.4583             | 0.7778               |
| 1.5874        | 18.0  | 990  | 1.3368          | 0.1848       | 0.4152   | 0.4722             | 0.8056               |
| 0.9758        | 19.0  | 1045 | 1.2081          | 0.2376       | 0.4096   | 0.4861             | 0.8056               |
| 0.9758        | 20.0  | 1100 | 1.1952          | 0.2625       | 0.4872   | 0.5                | 0.8056               |


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