|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: distilbert/distilgpt2 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: test_eli5_clm-model |
|
|
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. --> |
|
|
|
|
|
# test_eli5_clm-model |
|
|
|
|
|
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the dany0407/eli5_category dataset, as part of the HuggingFace Casual Language modelling guide. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 3.8031 |
|
|
|
|
|
## Model description |
|
|
|
|
|
Distil gpt2 fine-tuned on eli5 dataset |
|
|
|
|
|
## Intended uses & limitations |
|
|
|
|
|
exploration and re-aquainting myself with fineruning/training at home |
|
|
|
|
|
## Training and evaluation data |
|
|
|
|
|
dany0407/eli5_category |
|
|
|
|
|
## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 3.0 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 3.9157 | 1.0 | 1325 | 3.8137 | |
|
|
| 3.8203 | 2.0 | 2650 | 3.8041 | |
|
|
| 3.7755 | 3.0 | 3975 | 3.8031 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.57.3 |
|
|
- Pytorch 2.9.1 |
|
|
- Datasets 4.4.1 |
|
|
- Tokenizers 0.22.1 |
|
|
|
