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# deberta-v3-large-survey-fluency-rater-half-gpt4

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: 0.4343
- Krippendorff: 0.9058
- Spearman: 0.9547
- Absolute Agreement: 0.8474
- Agreement Within One: 0.9471

## 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   | 1.9138          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 2.0   | 104  | 1.9217          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 3.0   | 156  | 1.9585          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 4.0   | 208  | 2.3977          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 5.0   | 260  | 2.8616          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 6.0   | 312  | 2.6726          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 7.0   | 364  | 2.7845          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 8.0   | 416  | 2.6765          | -0.3957      | nan      | 0.0833             | 0.7778               |
| No log        | 9.0   | 468  | 3.4009          | -0.3957      | nan      | 0.0833             | 0.7778               |
| 1.2312        | 10.0  | 520  | 2.9620          | -0.3823      | -0.0500  | 0.0833             | 0.7778               |
| 1.2312        | 11.0  | 572  | 3.1665          | -0.3823      | -0.0500  | 0.0833             | 0.7778               |
| 1.2312        | 12.0  | 624  | 2.3547          | -0.1219      | -0.0203  | 0.1111             | 0.8056               |
| 1.2312        | 13.0  | 676  | 3.1385          | -0.2794      | -0.1482  | 0.1111             | 0.8056               |
| 1.2312        | 14.0  | 728  | 2.3297          | -0.2464      | -0.1777  | 0.2778             | 0.8056               |
| 1.2312        | 15.0  | 780  | 3.0634          | -0.1121      | 0.0026   | 0.1389             | 0.8056               |
| 1.2312        | 16.0  | 832  | 3.3036          | 0.1503       | 0.0999   | 0.1389             | 0.8611               |
| 1.2312        | 17.0  | 884  | 3.1543          | 0.1079       | 0.0845   | 0.1389             | 0.8333               |
| 1.2312        | 18.0  | 936  | 3.4091          | -0.0607      | 0.0699   | 0.25               | 0.8056               |
| 1.2312        | 19.0  | 988  | 3.2090          | 0.2886       | 0.1196   | 0.1389             | 0.8611               |
| 0.67          | 20.0  | 1040 | 3.6203          | 0.2271       | 0.2339   | 0.25               | 0.8333               |


### 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-gpt4", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us