<<<<<<< HEAD
---
tags:
- generated_from_trainer
datasets:
- financial_phrasebank
model-index:
- name: test_trainer_1
  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. -->

# test_trainer_1

This model is a fine-tuned version of [SALT-NLP/FLANG-Roberta](https://huggingface.co/SALT-NLP/FLANG-Roberta) on the financial_phrasebank dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5963
- eval_accuracy: 0.9242
- eval_runtime: 4.3354
- eval_samples_per_second: 97.337
- eval_steps_per_second: 12.225
- 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: 5e-05
- 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: 5

### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
=======
This is a demo model for our reference
>>>>>>> 24191373ff05e3799b9c6f359e51b37b642f4865