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# deberta-v3-large-RETACRED-1114

This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0102

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5631        | 1.0   | 1828 | 1.9772          |
| 1.5202        | 2.0   | 3656 | 1.9850          |
| 1.5102        | 3.0   | 5484 | 1.9945          |
| 1.5022        | 4.0   | 7312 | 2.0249          |
| 1.5043        | 5.0   | 9140 | 2.0102          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-v3-large", "model-index": [{"name": "deberta-v3-large-RETACRED-1114", "results": []}]}
transformers tensorboard safetensors deberta-v2 text-classification generated_from_trainer base_model:microsoft/deberta-v3-large license:mit autotrain_compatible endpoints_compatible region:us