electra-small-discriminator-CoLA

electra-small-discriminator-CoLA

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

• Loss: 0.4403
• Matthews Correlation: 0.5510

Model description

trying to optimize accuracy/speed:

{
    "epoch": 8.0,
    "eval_loss": 0.4402828514575958,
    "eval_matthews_correlation": 0.5510400717227824,
    "eval_runtime": 0.9341,
    "eval_samples": 1043,
    "eval_samples_per_second": 1116.545,
    "eval_steps_per_second": 70.654
}

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

Framework versions

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