metadata
license: mit
tags:
- generated_from_trainer
datasets:
- common_gen
model-index:
- name: gpt2-xl-finetuned-commongen
results: []
gpt2-xl-finetuned-commongen
This model is a fine-tuned version of gpt2-xl on the common_gen dataset. It achieves the following results on the evaluation set:
- Loss: 2.1408
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: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2196 | 1.0 | 574 | 2.0510 |
| 1.7181 | 2.0 | 1148 | 2.1408 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2