---
library_name: transformers
license: mit
base_model: MoritzLaurer/deberta-v3-large-zeroshot-v2.0-c
tags:
- generated_from_trainer
model-index:
- name: zsc_finetune_results
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# zsc_finetune_results

This model is a fine-tuned version of [MoritzLaurer/deberta-v3-large-zeroshot-v2.0-c](https://huggingface.co/MoritzLaurer/deberta-v3-large-zeroshot-v2.0-c) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9992

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0003        | 0.0978 | 500  | 0.9619          |
| 0.8545        | 0.1956 | 1000 | 1.2778          |
| 1.0119        | 0.2934 | 1500 | 0.9095          |
| 0.9421        | 0.3912 | 2000 | 1.0197          |
| 1.062         | 0.4890 | 2500 | 1.0226          |
| 0.9204        | 0.5869 | 3000 | 0.9799          |
| 0.9559        | 0.6847 | 3500 | 1.0734          |
| 1.0267        | 0.7825 | 4000 | 1.0456          |
| 1.0528        | 0.8803 | 4500 | 1.0008          |
| 0.9935        | 0.9781 | 5000 | 0.9992          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3