metadata

license: mit
base_model: gpt2
tags:
  - generated_from_trainer
datasets:
  - wikitext
metrics:
  - accuracy
model-index:
  - name: hub-gpt2-wiki3
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: wikitext wikitext-2-raw-v1
          type: wikitext
          args: wikitext-2-raw-v1
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.42587976539589445

hub-gpt2-wiki3

This model is a fine-tuned version of gpt2 on the wikitext wikitext-2-raw-v1 dataset. It achieves the following results on the evaluation set:

Loss: 3.0513
Accuracy: 0.4259

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: 5e-05
train_batch_size: 8
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

Framework versions

Transformers 4.40.0.dev0
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.1