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# deberta-v3-large-survey-new_fact_main_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: 0.6360
- Krippendorff: 0.8330
- Spearman: 0.8242
- Absolute Agreement: 0.8498
- Agreement Within One: 0.9435

## 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   | 1.9056          | -0.1975      | 0.2732   | 0.1389             | 0.5556               |
| No log        | 2.0   | 104  | 1.8986          | -0.3052      | 0.0684   | 0.1389             | 0.5556               |
| No log        | 3.0   | 156  | 1.8869          | -0.3835      | nan      | 0.1389             | 0.5278               |
| No log        | 4.0   | 208  | 2.0502          | -0.4830      | nan      | 0.25               | 1.0                  |
| No log        | 5.0   | 260  | 2.4002          | -0.4830      | nan      | 0.25               | 1.0                  |
| No log        | 6.0   | 312  | 2.4895          | -0.0731      | 0.0193   | 0.2222             | 0.8889               |
| No log        | 7.0   | 364  | 2.2943          | 0.7464       | 0.7453   | 0.3889             | 0.8889               |
| No log        | 8.0   | 416  | 2.2416          | 0.8118       | 0.7882   | 0.3889             | 0.8611               |
| No log        | 9.0   | 468  | 2.3725          | 0.8118       | 0.7882   | 0.3889             | 0.8611               |
| 1.2529        | 10.0  | 520  | 2.4889          | 0.6015       | 0.6308   | 0.3333             | 0.7778               |
| 1.2529        | 11.0  | 572  | 2.7181          | 0.6015       | 0.6308   | 0.3333             | 0.7778               |
| 1.2529        | 12.0  | 624  | 2.5870          | 0.6829       | 0.6950   | 0.3611             | 0.8056               |
| 1.2529        | 13.0  | 676  | 2.7559          | 0.6400       | 0.6437   | 0.3611             | 0.8056               |
| 1.2529        | 14.0  | 728  | 2.8805          | 0.6829       | 0.6950   | 0.3611             | 0.8056               |
| 1.2529        | 15.0  | 780  | 2.7286          | 0.6814       | 0.6549   | 0.3889             | 0.8333               |
| 1.2529        | 16.0  | 832  | 3.0974          | 0.7322       | 0.7024   | 0.3889             | 0.8333               |
| 1.2529        | 17.0  | 884  | 3.2368          | 0.6794       | 0.6160   | 0.2778             | 0.8056               |
| 1.2529        | 18.0  | 936  | 3.1932          | 0.6414       | 0.5821   | 0.25               | 0.7778               |
| 1.2529        | 19.0  | 988  | 3.3644          | 0.7016       | 0.6197   | 0.3056             | 0.8333               |
| 0.4102        | 20.0  | 1040 | 3.6545          | 0.6146       | 0.5778   | 0.25               | 0.75                 |


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