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# deberta-v3-large-survey-topicality-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: 0.9793
- Krippendorff: 0.8279
- Spearman: 0.8075
- Absolute Agreement: 0.6370
- Agreement Within One: 0.9663

## 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   | 2.0389          | -0.7466      | nan      | 0.0556             | 1.0                  |
| No log        | 2.0   | 104  | 2.0207          | -0.7466      | nan      | 0.0556             | 1.0                  |
| No log        | 3.0   | 156  | 1.9881          | -0.5712      | -0.1830  | 0.0556             | 0.9722               |
| No log        | 4.0   | 208  | 1.6979          | -0.2433      | nan      | 0.2778             | 0.8333               |
| No log        | 5.0   | 260  | 1.6522          | -0.2433      | nan      | 0.2778             | 0.8333               |
| No log        | 6.0   | 312  | 1.6655          | -0.2433      | nan      | 0.2778             | 0.8333               |
| No log        | 7.0   | 364  | 1.7160          | -0.2433      | nan      | 0.2778             | 0.8333               |
| No log        | 8.0   | 416  | 1.6616          | -0.2433      | nan      | 0.2778             | 0.8333               |
| No log        | 9.0   | 468  | 1.5106          | -0.2433      | nan      | 0.2778             | 0.8333               |
| 1.5151        | 10.0  | 520  | 1.7309          | -0.2433      | nan      | 0.2778             | 0.8333               |
| 1.5151        | 11.0  | 572  | 1.4090          | -0.0325      | 0.0      | 0.5278             | 0.8333               |
| 1.5151        | 12.0  | 624  | 1.7219          | -0.1350      | 0.2065   | 0.3889             | 0.8333               |
| 1.5151        | 13.0  | 676  | 1.8047          | -0.1019      | 0.0347   | 0.3889             | 0.8333               |
| 1.5151        | 14.0  | 728  | 1.7490          | -0.1094      | -0.0090  | 0.4444             | 0.8333               |
| 1.5151        | 15.0  | 780  | 2.0425          | -0.0707      | 0.0202   | 0.4722             | 0.8333               |
| 1.5151        | 16.0  | 832  | 2.0389          | -0.1497      | -0.0239  | 0.5                | 0.8333               |
| 1.5151        | 17.0  | 884  | 2.2333          | -0.1525      | -0.0333  | 0.4722             | 0.8333               |
| 1.5151        | 18.0  | 936  | 2.0693          | -0.1497      | -0.0239  | 0.5                | 0.8333               |
| 1.5151        | 19.0  | 988  | 1.8664          | -0.0749      | 0.0063   | 0.4722             | 0.8333               |
| 0.7088        | 20.0  | 1040 | 2.4088          | -0.1342      | -0.0239  | 0.5                | 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-topicality-rater-half", "results": []}]}
transformers pytorch deberta-v2 text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us