metadata

library_name: peft
tags:
  - parquet
  - text-classification
datasets:
  - glue
metrics:
  - accuracy
base_model: Capreolus/bert-base-msmarco
model-index:
  - name: Capreolus_bert-base-msmarco-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: 0.7746883988494727
            name: accuracy

Capreolus_bert-base-msmarco-finetuned-lora-glue_cola

This model is a fine-tuned version of Capreolus/bert-base-msmarco on the glue dataset. It achieves the following results on the evaluation set:

accuracy: 0.7747

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	0.7929	0
0.7335	0.5786	1
0.7574	0.5167	2
0.7747	0.4915	3

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2