|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: distilgpt2-magicprompt |
|
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. --> |
|
|
|
# distilgpt2-magicprompt |
|
|
|
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3089 |
|
|
|
## 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: 0.001 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 2 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 256 |
|
- total_eval_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.05 |
|
- num_epochs: 10.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.7061 | 0.99 | 33 | 2.5859 | |
|
| 2.08 | 1.99 | 66 | 1.9965 | |
|
| 1.7623 | 2.99 | 99 | 1.7248 | |
|
| 1.5408 | 3.99 | 132 | 1.5449 | |
|
| 1.4147 | 4.99 | 165 | 1.4437 | |
|
| 1.3593 | 5.99 | 198 | 1.3768 | |
|
| 1.2703 | 6.99 | 231 | 1.3362 | |
|
| 1.2528 | 7.99 | 264 | 1.3175 | |
|
| 1.1981 | 8.99 | 297 | 1.3091 | |
|
| 1.2117 | 9.99 | 330 | 1.3089 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.0.dev0 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.6.1 |
|
- Tokenizers 0.13.1 |
|
|
