|
--- |
|
library_name: transformers |
|
license: mit |
|
base_model: gpt2 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: random_sentence_french |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# random_sentence_french |
|
|
|
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1513 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: reduce_lr_on_plateau |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:-----:|:---------------:| |
|
| 0.7697 | 0.0036 | 2000 | 0.1915 | |
|
| 0.1884 | 0.0072 | 4000 | 0.1777 | |
|
| 0.178 | 0.0109 | 6000 | 0.1698 | |
|
| 0.1714 | 0.0145 | 8000 | 0.1655 | |
|
| 0.1669 | 0.0181 | 10000 | 0.1620 | |
|
| 0.1647 | 0.0217 | 12000 | 0.1595 | |
|
| 0.1608 | 0.0253 | 14000 | 0.1578 | |
|
| 0.1601 | 0.0289 | 16000 | 0.1565 | |
|
| 0.1607 | 0.0326 | 18000 | 0.1552 | |
|
| 0.1565 | 0.0362 | 20000 | 0.1544 | |
|
| 0.1555 | 0.0398 | 22000 | 0.1533 | |
|
| 0.1549 | 0.0434 | 24000 | 0.1526 | |
|
| 0.1544 | 0.0470 | 26000 | 0.1519 | |
|
| 0.1529 | 0.0506 | 28000 | 0.1513 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.2 |
|
- Pytorch 2.4.1 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.1 |
|
|
