README.md

metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: SEED0042
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: SST2
          type: ''
          args: sst2
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9506880733944955

SEED0042

This model is a fine-tuned version of google/electra-base-discriminator on the SST2 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1754
• Accuracy: 0.9507

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
• lr_scheduler_warmup_steps: 2000
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	2105	0.2056	0.9358
0.2549	2.0	4210	0.1850	0.9438
0.1162	3.0	6315	0.1754	0.9507

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu113
• Datasets 2.1.0
• Tokenizers 0.11.6