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# deberta-v3-large-survey-new_fact_related_passage-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: 0.8752
- Krippendorff: 0.4350
- Spearman: 0.3984
- Absolute Agreement: 0.7344
- Agreement Within One: 0.9099

## 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   | 1.9606          | -0.3490      | nan      | 0.1111             | 1.0                  |
| No log        | 2.0   | 104  | 1.9640          | -0.3490      | nan      | 0.1111             | 1.0                  |
| No log        | 3.0   | 156  | 1.9712          | -0.3490      | nan      | 0.1111             | 1.0                  |
| No log        | 4.0   | 208  | 2.3326          | 0.0006       | nan      | 0.0                | 0.7222               |
| No log        | 5.0   | 260  | 2.2922          | 0.1469       | 0.2726   | 0.0556             | 0.8056               |
| No log        | 6.0   | 312  | 2.4219          | 0.1920       | 0.3263   | 0.0556             | 0.8333               |
| No log        | 7.0   | 364  | 2.3991          | 0.1687       | 0.3411   | 0.0833             | 0.8611               |
| No log        | 8.0   | 416  | 2.4397          | -0.0179      | 0.1329   | 0.1111             | 0.8889               |
| No log        | 9.0   | 468  | 2.4603          | 0.4105       | 0.4142   | 0.1667             | 0.8056               |
| 1.4471        | 10.0  | 520  | 2.3544          | 0.5748       | 0.5543   | 0.2222             | 0.75                 |
| 1.4471        | 11.0  | 572  | 2.3333          | 0.4601       | 0.4278   | 0.2222             | 0.8056               |
| 1.4471        | 12.0  | 624  | 2.3951          | 0.3027       | 0.2481   | 0.1944             | 0.7222               |
| 1.4471        | 13.0  | 676  | 2.3777          | 0.2092       | 0.1888   | 0.1389             | 0.6944               |
| 1.4471        | 14.0  | 728  | 2.6185          | 0.2299       | 0.1929   | 0.1667             | 0.6667               |
| 1.4471        | 15.0  | 780  | 2.4643          | 0.1730       | 0.1434   | 0.1944             | 0.6944               |
| 1.4471        | 16.0  | 832  | 2.4153          | 0.3164       | 0.2496   | 0.2222             | 0.7222               |
| 1.4471        | 17.0  | 884  | 2.5835          | 0.2973       | 0.2399   | 0.2222             | 0.75                 |
| 1.4471        | 18.0  | 936  | 2.8757          | 0.3253       | 0.2531   | 0.2222             | 0.7222               |
| 1.4471        | 19.0  | 988  | 2.9224          | 0.2975       | 0.2393   | 0.2222             | 0.6944               |
| 0.6067        | 20.0  | 1040 | 3.1653          | 0.2157       | 0.1792   | 0.2222             | 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-new_fact_related_passage-rater-half-gpt4", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us