---
base_model: microsoft/mpnet-base
tags:
- generated_from_trainer
model-index:
- name: mpnet-base-airlines-news-multi-label
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mpnet-base-airlines-news-multi-label

This model is a fine-tuned version of [microsoft/mpnet-base](https://huggingface.co./microsoft/mpnet-base) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2754
- eval_f1: 0.6334
- eval_roc_auc: 0.7772
- eval_accuracy: 0.5938
- eval_runtime: 122.2791
- eval_samples_per_second: 1.832
- eval_steps_per_second: 0.229
- epoch: 16.56
- step: 3726

## 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: 9e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1