---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: nli-deberta-v3-large_10
  results: []
---

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# nli-deberta-v3-large_10

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.7262
- eval_model_preparation_time: 0.0067
- eval_accuracy: 0.7840
- eval_f1: 0.7843
- eval_runtime: 50.8286
- eval_samples_per_second: 124.536
- eval_steps_per_second: 7.791
- step: 0

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 10

### Framework versions

- Transformers 4.52.4
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1