distilbert_rand_20_v2_cola

This model is a fine-tuned version of Hartunka/distilbert_rand_20_v2 on the GLUE COLA dataset. It achieves the following results on the evaluation set:

• Loss: 0.6151
• Matthews Correlation: 0.0
• Accuracy: 0.6913

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: 5e-05
• train_batch_size: 256
• eval_batch_size: 256
• seed: 10
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation	Accuracy
0.6147	1.0	34	0.6151	0.0	0.6913
0.5912	2.0	68	0.6195	-0.0163	0.6884
0.5468	3.0	102	0.6210	0.0543	0.6865
0.4978	4.0	136	0.6938	0.0802	0.6424
0.4357	5.0	170	0.7163	0.0813	0.6548
0.3843	6.0	204	0.8270	0.0845	0.6529

Framework versions

• Transformers 4.50.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.21.1