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# deberta-v3-large-survey-cross_passage_consistency-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: 0.5957
- Krippendorff: 0.5530
- Spearman: 0.6991
- Absolute Agreement: 0.8221
- Agreement Within One: 0.9002

## 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   | 1.9600          | -0.4776      | 0.3301   | 0.0556             | 0.9722               |
| No log        | 2.0   | 104  | 1.9258          | -0.2795      | 0.2827   | 0.0833             | 0.9722               |
| No log        | 3.0   | 156  | 1.9351          | -0.3095      | 0.2873   | 0.0833             | 0.9722               |
| No log        | 4.0   | 208  | 2.0079          | -0.1471      | -0.1057  | 0.0833             | 0.8333               |
| No log        | 5.0   | 260  | 2.2469          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 6.0   | 312  | 2.2186          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 7.0   | 364  | 2.2266          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 8.0   | 416  | 2.2258          | -0.2860      | nan      | 0.1944             | 0.8056               |
| No log        | 9.0   | 468  | 2.2048          | -0.2860      | nan      | 0.1944             | 0.8056               |
| 1.3796        | 10.0  | 520  | 2.2347          | -0.2860      | nan      | 0.1944             | 0.8056               |
| 1.3796        | 11.0  | 572  | 2.2480          | -0.2860      | nan      | 0.1944             | 0.8056               |
| 1.3796        | 12.0  | 624  | 2.1409          | -0.2349      | 0.0      | 0.1944             | 0.8056               |
| 1.3796        | 13.0  | 676  | 2.0869          | 0.0452       | 0.1218   | 0.1944             | 0.8333               |
| 1.3796        | 14.0  | 728  | 2.1785          | 0.1597       | 0.2372   | 0.1944             | 0.8611               |
| 1.3796        | 15.0  | 780  | 2.1684          | 0.0452       | 0.1218   | 0.1944             | 0.8333               |
| 1.3796        | 16.0  | 832  | 2.3356          | 0.0185       | 0.1110   | 0.1944             | 0.8333               |
| 1.3796        | 17.0  | 884  | 2.5980          | -0.0694      | 0.0783   | 0.2222             | 0.8333               |
| 1.3796        | 18.0  | 936  | 2.3700          | 0.0944       | 0.2085   | 0.1944             | 0.8611               |
| 1.3796        | 19.0  | 988  | 2.3355          | -0.0396      | 0.0913   | 0.1667             | 0.8611               |
| 0.7039        | 20.0  | 1040 | 2.7088          | -0.0625      | 0.0901   | 0.1667             | 0.8611               |


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