README.md

metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
model-index:
  - name: bert-base-uncased-cola
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE COLA
          type: glue
          args: cola
        metrics:
          - name: Matthews Correlation
            type: matthews_correlation
            value: 0.5880094937717885
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: glue
          type: glue
          config: cola
          split: validation
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8322147651006712
            verified: true
          - name: Precision Macro
            type: precision
            value: 0.830203748981255
            verified: true
          - name: Precision Micro
            type: precision
            value: 0.8322147651006712
            verified: true
          - name: Precision Weighted
            type: precision
            value: 0.8315568610076411
            verified: true
          - name: Recall Macro
            type: recall
            value: 0.7617741060121812
            verified: true
          - name: Recall Micro
            type: recall
            value: 0.8322147651006712
            verified: true
          - name: Recall Weighted
            type: recall
            value: 0.8322147651006712
            verified: true
          - name: F1 Macro
            type: f1
            value: 0.7831814623565482
            verified: true
          - name: F1 Micro
            type: f1
            value: 0.8322147651006712
            verified: true
          - name: F1 Weighted
            type: f1
            value: 0.8226255909753084
            verified: true
          - name: loss
            type: loss
            value: 0.5406177043914795
            verified: true

bert-base-uncased-cola

This model is a fine-tuned version of bert-base-uncased on the GLUE COLA dataset. It achieves the following results on the evaluation set:

• Loss: 0.5406
• Matthews Correlation: 0.5880

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
No log	1.0	268	0.4598	0.5135
0.393	2.0	536	0.4875	0.5573
0.393	3.0	804	0.5406	0.5880

Framework versions

• Transformers 4.20.0.dev0
• Pytorch 1.11.0+cu113
• Datasets 2.1.0
• Tokenizers 0.12.1