README.md

metadata

language:
  - en
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
  - accuracy
model-index:
  - name: hBERTv1_new_pretrain_48_cola
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE COLA
          type: glue
          config: cola
          split: validation
          args: cola
        metrics:
          - name: Matthews Correlation
            type: matthews_correlation
            value: 0
          - name: Accuracy
            type: accuracy
            value: 0.6912751793861389

hBERTv1_new_pretrain_48_cola

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_48 on the GLUE COLA dataset. It achieves the following results on the evaluation set:

• Loss: 0.6153
• 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: 4e-05
• train_batch_size: 128
• eval_batch_size: 128
• seed: 10
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation	Accuracy
0.6296	1.0	67	0.6343	0.0	0.6913
0.6166	2.0	134	0.6423	0.0	0.6913
0.611	3.0	201	0.6202	0.0	0.6913
0.6085	4.0	268	0.6188	0.0	0.6913
0.6107	5.0	335	0.6153	0.0	0.6913
0.5988	6.0	402	0.6260	0.0	0.6913
0.5826	7.0	469	0.6354	0.0	0.6913
0.5536	8.0	536	0.6534	0.0304	0.6539
0.5402	9.0	603	0.6798	0.0917	0.5954
0.5341	10.0	670	0.7670	0.0513	0.6836

Framework versions

• Transformers 4.29.2
• Pytorch 1.14.0a0+410ce96
• Datasets 2.12.0
• Tokenizers 0.13.3