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