---
license: apache-2.0
base_model: distilbert-base-uncased-finetuned-sst-2-english
tags:
- generated_from_trainer
model-index:
- name: finetune_Distilbert_SST_Avalinguo_Fluency
  results: []

widget:
- text: "Engineer, Yeah, indeed, you know that the lady has a Phd. It's the 1st."
  example_title: "High_fluency_1"
- text: "Oh, how was brown for you?"
  example_title: "Low_fluency_1"
- text: "Now they can."
  example_title: "Low_fluency_2"
- text: "But kind of plastics like growing more social consciousness, right?"
  example_title: "High_fluency_2"
---

<!-- 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. -->

# finetune_Distilbert_SST_Avalinguo_Fluency

This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.

## 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: 3.0

### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3