README.md

metadata

license: apache-2.0
library_name: peft
tags:
  - parquet
  - text-classification
datasets:
  - glue
metrics:
  - accuracy
base_model: ali2066/finetuned_sentence_itr1_2e-05_all_26_02_2022-04_03_26
model-index:
  - name: >-
      ali2066_finetuned_sentence_itr1_2e-05_all_26_02_2022-04_03_26-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: 0.7603068072866731
            name: accuracy

ali2066_finetuned_sentence_itr1_2e-05_all_26_02_2022-04_03_26-finetuned-lora-glue_cola

This model is a fine-tuned version of ali2066/finetuned_sentence_itr1_2e-05_all_26_02_2022-04_03_26 on the glue dataset. It achieves the following results on the evaluation set:

• accuracy: 0.7603

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
0.6376	None	0
0.6942	0.6047	0
0.7383	0.5485	1
0.7555	0.5150	2
0.7603	0.4973	3

Framework versions

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