transformers safetensors bert text-classification generated_from_trainer en dataset:glue base_model:Tural/language-modeling-from-scratch-ml base_model:finetune:Tural/language-modeling-from-scratch-ml model-index autotrain_compatible endpoints_compatible region:us
---
base_model: Tural/language-modeling-from-scratch-ml
datasets:
- glue
language:
- en
metrics:
- matthews_correlation
tags:
- generated_from_trainer
model-index:
- name: ml-out-glue-cola
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: GLUE COLA
      type: glue
      config: cola
      split: validation
      args: cola
    metrics:
    - type: matthews_correlation
      value: 0.2052273727942896
      name: Matthews Correlation
---

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# ml-out-glue-cola

This model is a fine-tuned version of [Tural/language-modeling-from-scratch-ml](https://huggingface.co/Tural/language-modeling-from-scratch-ml) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9269
- Matthews Correlation: 0.2052

## 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: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1
- Datasets 2.15.0
- Tokenizers 0.15.0
