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

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: 0.6079
- Krippendorff: 0.9077
- Spearman: 0.9044
- Absolute Agreement: 0.7885
- Agreement Within One: 0.9519

## 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   | 52   | 1.9288          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 2.0   | 104  | 1.9165          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 3.0   | 156  | 1.8943          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 4.0   | 208  | 1.8693          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 5.0   | 260  | 1.8298          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 6.0   | 312  | 1.8543          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 7.0   | 364  | 1.8254          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 8.0   | 416  | 1.7561          | -0.2269      | -0.0717  | 0.0833             | 0.7778               |
| No log        | 9.0   | 468  | 1.8622          | -0.2883      | -0.0500  | 0.0833             | 0.7778               |
| 1.6046        | 10.0  | 520  | 1.8385          | -0.2883      | -0.0500  | 0.0833             | 0.7778               |
| 1.6046        | 11.0  | 572  | 1.9348          | 0.0049       | 0.0428   | 0.0833             | 0.8056               |
| 1.6046        | 12.0  | 624  | 1.9425          | -0.2394      | 0.1653   | 0.0833             | 0.7778               |
| 1.6046        | 13.0  | 676  | 1.9805          | 0.0113       | 0.0516   | 0.1111             | 0.8056               |
| 1.6046        | 14.0  | 728  | 2.1202          | 0.0533       | 0.2082   | 0.1389             | 0.8056               |
| 1.6046        | 15.0  | 780  | 2.1806          | 0.1905       | 0.2601   | 0.1111             | 0.8611               |
| 1.6046        | 16.0  | 832  | 2.2966          | 0.1125       | 0.1648   | 0.1111             | 0.8611               |
| 1.6046        | 17.0  | 884  | 2.5406          | 0.2016       | 0.2828   | 0.1111             | 0.8611               |
| 1.6046        | 18.0  | 936  | 2.7011          | 0.0565       | 0.1121   | 0.0833             | 0.8611               |
| 1.6046        | 19.0  | 988  | 2.7393          | 0.1782       | 0.2420   | 0.1111             | 0.8611               |
| 0.9775        | 20.0  | 1040 | 2.7052          | 0.3083       | 0.2412   | 0.1389             | 0.8889               |


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