|
|
--- |
|
|
license: mit |
|
|
base_model: gpt2-large |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- scitldr |
|
|
model-index: |
|
|
- name: uplimit-project-3-gpt2-large |
|
|
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. --> |
|
|
|
|
|
# uplimit-project-3-gpt2-large |
|
|
|
|
|
This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the scitldr dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 3.5296 |
|
|
|
|
|
## 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: 1 |
|
|
- eval_batch_size: 1 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 10 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
|
| 1.8474 | 0.4 | 800 | 2.7175 | |
|
|
| 1.8784 | 0.8 | 1600 | 2.6618 | |
|
|
| 1.6307 | 1.2 | 2400 | 2.7737 | |
|
|
| 2.0121 | 1.61 | 3200 | 2.6673 | |
|
|
| 2.033 | 2.01 | 4000 | 2.7799 | |
|
|
| 1.8416 | 2.41 | 4800 | 2.8229 | |
|
|
| 1.7133 | 2.81 | 5600 | 2.7827 | |
|
|
| 1.681 | 3.21 | 6400 | 2.9556 | |
|
|
| 1.5638 | 3.61 | 7200 | 2.9581 | |
|
|
| 1.3838 | 4.02 | 8000 | 2.9749 | |
|
|
| 1.2711 | 4.42 | 8800 | 2.9982 | |
|
|
| 1.2488 | 4.82 | 9600 | 2.9858 | |
|
|
| 0.9192 | 5.22 | 10400 | 3.1093 | |
|
|
| 0.914 | 5.62 | 11200 | 3.1497 | |
|
|
| 0.6613 | 6.02 | 12000 | 3.1170 | |
|
|
| 0.6696 | 6.43 | 12800 | 3.1780 | |
|
|
| 0.8281 | 6.83 | 13600 | 3.1630 | |
|
|
| 0.3944 | 7.23 | 14400 | 3.3688 | |
|
|
| 0.4512 | 7.63 | 15200 | 3.3493 | |
|
|
| 0.313 | 8.03 | 16000 | 3.4182 | |
|
|
| 0.3008 | 8.43 | 16800 | 3.4404 | |
|
|
| 0.3054 | 8.84 | 17600 | 3.4577 | |
|
|
| 0.2112 | 9.24 | 18400 | 3.5108 | |
|
|
| 0.2435 | 9.64 | 19200 | 3.5296 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.34.1 |
|
|
- Pytorch 2.1.0+cu118 |
|
|
- Datasets 2.14.6 |
|
|
- Tokenizers 0.14.1 |
|
|
|
