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# deberta-v3-large-survey-main_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: 0.9958
- Krippendorff: 0.8010
- Spearman: 0.8510
- Absolute Agreement: 0.6286
- Agreement Within One: 0.875

## 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   | 1.9583          | 0.0604       | 0.1334   | 0.0556             | 0.6111               |
| No log        | 2.0   | 104  | 1.9600          | 0.0479       | 0.2283   | 0.0556             | 0.6111               |
| No log        | 3.0   | 156  | 1.9760          | -0.3323      | -0.2987  | 0.0278             | 0.75                 |
| No log        | 4.0   | 208  | 2.1437          | -0.5495      | nan      | 0.1111             | 1.0                  |
| No log        | 5.0   | 260  | 2.1877          | -0.5495      | nan      | 0.1111             | 1.0                  |
| No log        | 6.0   | 312  | 2.2121          | -0.5495      | nan      | 0.1111             | 1.0                  |
| No log        | 7.0   | 364  | 2.2135          | -0.5495      | nan      | 0.1111             | 1.0                  |
| No log        | 8.0   | 416  | 2.1887          | -0.4448      | -0.0544  | 0.1111             | 0.9722               |
| No log        | 9.0   | 468  | 2.0968          | -0.0169      | 0.0989   | 0.1667             | 0.8333               |
| 1.683         | 10.0  | 520  | 2.1252          | 0.0707       | 0.1072   | 0.1389             | 0.7222               |
| 1.683         | 11.0  | 572  | 2.0715          | 0.2038       | 0.1796   | 0.1944             | 0.6944               |
| 1.683         | 12.0  | 624  | 2.2103          | 0.2636       | 0.2444   | 0.1944             | 0.7222               |
| 1.683         | 13.0  | 676  | 2.2643          | 0.2004       | 0.1892   | 0.1944             | 0.7222               |
| 1.683         | 14.0  | 728  | 2.4782          | 0.1607       | 0.0971   | 0.1389             | 0.75                 |
| 1.683         | 15.0  | 780  | 2.4848          | 0.0716       | 0.0545   | 0.1111             | 0.6389               |
| 1.683         | 16.0  | 832  | 2.5613          | 0.1815       | 0.1711   | 0.1389             | 0.6944               |
| 1.683         | 17.0  | 884  | 2.6313          | 0.2082       | 0.2297   | 0.1667             | 0.7222               |
| 1.683         | 18.0  | 936  | 2.7220          | 0.1543       | 0.1385   | 0.1389             | 0.75                 |
| 1.683         | 19.0  | 988  | 2.8428          | 0.2100       | 0.1983   | 0.1389             | 0.75                 |
| 0.9272        | 20.0  | 1040 | 2.9826          | 0.2266       | 0.2310   | 0.1389             | 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-main_passage_old_facts-rater-half-gpt4", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us