59 lines
1.3 KiB
Markdown
59 lines
1.3 KiB
Markdown
---
|
|
license: apache-2.0
|
|
tags:
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: causal_lm_distilgpt2_eli5_finetune
|
|
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. -->
|
|
|
|
# causal_lm_distilgpt2_eli5_finetune
|
|
|
|
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 3.7513
|
|
|
|
## 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: 16
|
|
- eval_batch_size: 16
|
|
- seed: 42
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
- lr_scheduler_type: linear
|
|
- num_epochs: 3.0
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
|
|:-------------:|:-----:|:----:|:---------------:|
|
|
| 3.9141 | 1.0 | 559 | 3.7688 |
|
|
| 3.8105 | 2.0 | 1118 | 3.7553 |
|
|
| 3.7767 | 3.0 | 1677 | 3.7513 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.29.2
|
|
- Pytorch 2.0.1+cu117
|
|
- Datasets 2.12.0
|
|
- Tokenizers 0.13.3
|