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# deberta-v3-large-survey-related_passage_old_facts-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: 0.5850
- Krippendorff: 0.9463
- Spearman: 0.9528
- Absolute Agreement: 0.8173
- Agreement Within One: 0.9399

## 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   | 1.9330          | -0.0890      | nan      | 0.0556             | 0.8056               |
| No log        | 2.0   | 104  | 1.9327          | -0.0890      | nan      | 0.0556             | 0.8056               |
| No log        | 3.0   | 156  | 1.9302          | -0.0890      | nan      | 0.0556             | 0.8056               |
| No log        | 4.0   | 208  | 1.9298          | -0.0890      | nan      | 0.0556             | 0.8056               |
| No log        | 5.0   | 260  | 1.9269          | -0.6469      | nan      | 0.1111             | 1.0                  |
| No log        | 6.0   | 312  | 1.9607          | -0.6469      | nan      | 0.1111             | 1.0                  |
| No log        | 7.0   | 364  | 2.1026          | -0.6469      | nan      | 0.1111             | 1.0                  |
| No log        | 8.0   | 416  | 2.0244          | -0.1249      | -0.1055  | 0.1667             | 0.7222               |
| No log        | 9.0   | 468  | 2.0627          | -0.0719      | -0.0558  | 0.1667             | 0.6389               |
| 1.768         | 10.0  | 520  | 2.0573          | 0.1385       | 0.0985   | 0.1944             | 0.6944               |
| 1.768         | 11.0  | 572  | 2.0929          | 0.0704       | 0.0962   | 0.1944             | 0.6667               |
| 1.768         | 12.0  | 624  | 2.4193          | 0.0499       | 0.0924   | 0.1944             | 0.6944               |
| 1.768         | 13.0  | 676  | 2.2569          | 0.2089       | 0.1890   | 0.1667             | 0.7222               |
| 1.768         | 14.0  | 728  | 2.2547          | 0.1851       | 0.2376   | 0.25               | 0.7222               |
| 1.768         | 15.0  | 780  | 2.4887          | 0.2271       | 0.2263   | 0.1667             | 0.7222               |
| 1.768         | 16.0  | 832  | 2.4946          | 0.2272       | 0.2488   | 0.2222             | 0.7222               |
| 1.768         | 17.0  | 884  | 2.8018          | 0.2519       | 0.2900   | 0.2222             | 0.7222               |
| 1.768         | 18.0  | 936  | 2.8760          | 0.1849       | 0.1906   | 0.1667             | 0.7222               |
| 1.768         | 19.0  | 988  | 3.0296          | 0.2389       | 0.2558   | 0.1389             | 0.7222               |
| 0.9194        | 20.0  | 1040 | 3.0490          | 0.2238       | 0.2630   | 0.25               | 0.7222               |


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