README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - wikitext
metrics:
  - accuracy
base_model: gpt2_tiny_random
model-index:
  - name: output_tiny
    results:
      - task:
          type: text-generation
          name: Causal Language Modeling
        dataset:
          name: wikitext wikitext-103-v1
          type: wikitext
          args: wikitext-103-v1
        metrics:
          - type: accuracy
            value: 0.2132901596611274
            name: Accuracy

output_tiny

This model is a fine-tuned version of gpt2_tiny_random on the wikitext wikitext-103-v1 dataset. It achieves the following results on the evaluation set:

• Loss: 5.3359
• Accuracy: 0.2133

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 50000

Training results

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1
• Datasets 2.8.0
• Tokenizers 0.13.2