metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-wikitext2
results: []
gpt2-wikitext2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 7.3791
- eval_runtime: 10.5986
- eval_samples_per_second: 182.477
- eval_steps_per_second: 22.833
- epoch: 0.11
- step: 241
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: 2e-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
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0