README.md

metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - sst2
metrics:
  - accuracy
model-index:
  - name: '42'
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: SST2
          type: glue
          args: sst2
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9254587155963303

42

This model is a fine-tuned version of bert-large-uncased on the SST2 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3109
• Accuracy: 0.9255

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• distributed_type: not_parallel
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	2105	0.2167	0.9232
0.2049	2.0	4210	0.2375	0.9278
0.123	3.0	6315	0.2636	0.9243
0.0839	4.0	8420	0.2865	0.9243
0.058	5.0	10525	0.3109	0.9255

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu113
• Datasets 2.7.1
• Tokenizers 0.11.6