---
library_name: transformers
license: mit
base_model: microsoft/deberta-large-mnli
tags:
- generated_from_trainer
model-index:
- name: roberta-classifier_batch16_3dataset
  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. -->

# roberta-classifier_batch16_3dataset

This model is a fine-tuned version of [microsoft/deberta-large-mnli](https://huggingface.co/microsoft/deberta-large-mnli) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6920
- eval_Accuracy: 0.525
- eval_AUC: 0.498
- eval_runtime: 78.0994
- eval_samples_per_second: 37.004
- eval_steps_per_second: 2.318
- epoch: 3.0
- step: 2169

## 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: 0.0002
- 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: linear
- num_epochs: 10

### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1