metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
model-index:
  - name: electra-small-discriminator-CoLA
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: glue
          type: glue
          config: cola
          split: validation
          args: cola
        metrics:
          - name: Matthews Correlation
            type: matthews_correlation
            value: 0.5857509882742485

electra-small-discriminator-CoLA

This model is a fine-tuned version of google/electra-small-discriminator on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.4569
Matthews Correlation: 0.5858

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: 8e-05
train_batch_size: 512
eval_batch_size: 16
seed: 32754
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 8.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.6139	1.0	17	0.5997	0.0
0.5315	2.0	34	0.4890	0.5154
0.4244	3.0	51	0.4469	0.5433
0.3568	4.0	68	0.4403	0.5510
0.319	5.0	85	0.4517	0.5654
0.2887	6.0	102	0.4656	0.5728
0.2771	7.0	119	0.4558	0.5883
0.2729	8.0	136	0.4569	0.5858

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.1