metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: CharlesDeGaulle-GPT
results: []
CharlesDeGaulle-GPT
This model is a fine-tuned version of antoinelouis/belgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5619
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: 4
- eval_batch_size: 4
- 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 | 26 | 2.9939 |
| No log | 2.0 | 52 | 2.7641 |
| No log | 3.0 | 78 | 2.6621 |
| No log | 4.0 | 104 | 2.6129 |
| No log | 5.0 | 130 | 2.5897 |
| No log | 6.0 | 156 | 2.5722 |
| No log | 7.0 | 182 | 2.5630 |
| No log | 8.0 | 208 | 2.5619 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.12.1