metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: GPT-Y
results: []
GPT-Y
This model is a fine-tuned version of juancopi81/gpt2-finetuned-yannic-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0797
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 403 | 3.0809 |
| 2.9847 | 2.0 | 806 | 3.0811 |
| 2.9516 | 3.0 | 1209 | 3.0781 |
| 2.916 | 4.0 | 1612 | 3.0791 |
| 2.9006 | 5.0 | 2015 | 3.0775 |
| 2.9006 | 6.0 | 2418 | 3.0799 |
| 2.8814 | 7.0 | 2821 | 3.0798 |
| 2.8672 | 8.0 | 3224 | 3.0797 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2