README.md

metadata

library_name: peft
tags:
  - parquet
  - text-classification
datasets:
  - glue
metrics:
  - accuracy
base_model: connectivity/bert_ft_qqp-94
model-index:
  - name: connectivity_bert_ft_qqp-94-finetuned-lora-glue_cola
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: glue
          type: glue
          config: cola
          split: validation
          args: cola
        metrics:
          - type: accuracy
            value: 0.7363374880153404
            name: accuracy

connectivity_bert_ft_qqp-94-finetuned-lora-glue_cola

This model is a fine-tuned version of connectivity/bert_ft_qqp-94 on the glue dataset. It achieves the following results on the evaluation set:

• accuracy: 0.7363

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: 0.0004
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

accuracy	train_loss	epoch
0.3087	None	0
0.6922	0.7747	0
0.6922	0.6010	1
0.7037	0.5853	2
0.7363	0.5491	3

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.2.0
• Datasets 2.16.1
• Tokenizers 0.15.2