README.md

metadata

license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
datasets:
  - sst2
metrics:
  - accuracy
model-index:
  - name: bert-base-cased-sst2
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: sst2
          type: sst2
          config: default
          split: validation
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9139908256880734

bert-base-cased-sst2

This model is a fine-tuned version of bert-base-cased on the sst2 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2103
• Accuracy: 0.9140

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: 128
• eval_batch_size: 128
• seed: 42
• 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
0.2267	1.0	527	0.2103	0.9140
0.1091	2.0	1054	0.2637	0.9174
0.0722	3.0	1581	0.2673	0.9174
0.0467	4.0	2108	0.2947	0.9266
0.0298	5.0	2635	0.3344	0.9209

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.14.0