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# deberta-v3-large-survey-new_fact_main_passage-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: 0.5997
- Krippendorff: 0.8866
- Spearman: 0.8452
- Absolute Agreement: 0.7981
- Agreement Within One: 0.9627

## 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   | 2.0050          | -0.0284      | nan      | 0.0556             | 0.6389               |
| No log        | 2.0   | 104  | 2.0018          | -0.0284      | nan      | 0.0556             | 0.6389               |
| No log        | 3.0   | 156  | 1.8877          | 0.3396       | 0.3820   | 0.25               | 0.9167               |
| No log        | 4.0   | 208  | 2.0870          | -0.4830      | nan      | 0.25               | 1.0                  |
| No log        | 5.0   | 260  | 2.2686          | -0.4830      | nan      | 0.25               | 1.0                  |
| No log        | 6.0   | 312  | 2.2808          | -0.3479      | -0.0729  | 0.25               | 0.9444               |
| No log        | 7.0   | 364  | 2.2021          | 0.6929       | 0.6752   | 0.3611             | 0.8333               |
| No log        | 8.0   | 416  | 2.1923          | 0.7365       | 0.7234   | 0.3611             | 0.8333               |
| No log        | 9.0   | 468  | 2.1403          | 0.8118       | 0.7882   | 0.3889             | 0.8611               |
| 1.3577        | 10.0  | 520  | 2.2881          | 0.8118       | 0.7882   | 0.3889             | 0.8611               |
| 1.3577        | 11.0  | 572  | 2.3523          | 0.8118       | 0.7882   | 0.3889             | 0.8611               |
| 1.3577        | 12.0  | 624  | 2.3332          | 0.8275       | 0.8168   | 0.3889             | 0.8611               |
| 1.3577        | 13.0  | 676  | 2.4414          | 0.7925       | 0.7853   | 0.3889             | 0.8611               |
| 1.3577        | 14.0  | 728  | 2.5907          | 0.7883       | 0.7723   | 0.3333             | 0.8611               |
| 1.3577        | 15.0  | 780  | 2.5388          | 0.7726       | 0.7452   | 0.2778             | 0.8611               |
| 1.3577        | 16.0  | 832  | 2.7258          | 0.6985       | 0.6774   | 0.3056             | 0.8611               |
| 1.3577        | 17.0  | 884  | 2.7749          | 0.7460       | 0.7270   | 0.3056             | 0.8611               |
| 1.3577        | 18.0  | 936  | 2.6903          | 0.7358       | 0.7073   | 0.3333             | 0.8611               |
| 1.3577        | 19.0  | 988  | 3.0083          | 0.6985       | 0.6705   | 0.3056             | 0.8611               |
| 0.5537        | 20.0  | 1040 | 3.0235          | 0.5930       | 0.5891   | 0.3056             | 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-new_fact_main_passage-rater-half", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us