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# deberta-v3-large-survey-related_passage_old_facts-rater-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: 0.4590
- Krippendorff: 0.9496
- Spearman: 0.9595
- Absolute Agreement: 0.8618
- Agreement Within One: 0.9422

## 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   | 50   | 1.9214          | -0.1968      | -0.1743  | 0.25               | 0.6389               |
| No log        | 2.0   | 100  | 1.9230          | -0.2449      | -0.2660  | 0.2222             | 0.625                |
| No log        | 3.0   | 150  | 1.9305          | -0.3132      | -0.3197  | 0.2639             | 0.5972               |
| No log        | 4.0   | 200  | 1.9688          | 0.0758       | 0.1922   | 0.1944             | 0.875                |
| No log        | 5.0   | 250  | 1.9912          | -0.4897      | 0.1914   | 0.125              | 1.0                  |
| No log        | 6.0   | 300  | 1.9696          | -0.3208      | 0.0287   | 0.125              | 0.9444               |
| No log        | 7.0   | 350  | 1.9609          | -0.4675      | 0.1913   | 0.125              | 1.0                  |
| No log        | 8.0   | 400  | 1.9717          | -0.1927      | -0.0683  | 0.125              | 0.875                |
| No log        | 9.0   | 450  | 2.0918          | -0.3136      | -0.1631  | 0.0972             | 0.875                |
| 1.7449        | 10.0  | 500  | 2.0623          | 0.0154       | 0.0896   | 0.1944             | 0.8333               |
| 1.7449        | 11.0  | 550  | 2.0821          | 0.0052       | 0.0822   | 0.1944             | 0.8333               |
| 1.7449        | 12.0  | 600  | 2.0046          | 0.2459       | 0.2394   | 0.2917             | 0.7778               |
| 1.7449        | 13.0  | 650  | 2.1779          | 0.1727       | 0.1624   | 0.25               | 0.8333               |
| 1.7449        | 14.0  | 700  | 2.2878          | 0.2452       | 0.1854   | 0.2917             | 0.7917               |
| 1.7449        | 15.0  | 750  | 2.3372          | 0.2134       | 0.1616   | 0.2639             | 0.7917               |
| 1.7449        | 16.0  | 800  | 2.5162          | 0.2219       | 0.1882   | 0.2361             | 0.8194               |
| 1.7449        | 17.0  | 850  | 2.7111          | 0.2041       | 0.1544   | 0.2222             | 0.8194               |
| 1.7449        | 18.0  | 900  | 2.7977          | 0.2679       | 0.2161   | 0.2639             | 0.7361               |
| 1.7449        | 19.0  | 950  | 2.7704          | 0.2809       | 0.2031   | 0.2222             | 0.7917               |
| 0.9017        | 20.0  | 1000 | 3.2462          | 0.2204       | 0.1785   | 0.2361             | 0.7361               |


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