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---
library_name: transformers
license: gpl-3.0
base_model: ckiplab/gpt2-tiny-chinese
tags:
- summarization
- generated_from_trainer
model-index:
- name: ADL_HW2_GPT2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/djengo890-national-taiwan-university/ADL_HW2_RT_GPT2/runs/ov47z0tg)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/djengo890-national-taiwan-university/ADL_HW2_RT_GPT2/runs/ov47z0tg)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/djengo890-national-taiwan-university/ADL_HW2_RT_GPT2/runs/ov47z0tg)
# ADL_HW2_GPT2
This model is a fine-tuned version of [ckiplab/gpt2-tiny-chinese](https://huggingface.co/ckiplab/gpt2-tiny-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4578
## 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: 5.6e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.02 | 1.0 | 543 | 3.6837 |
| 3.8249 | 2.0 | 1086 | 3.5804 |
| 3.7431 | 3.0 | 1629 | 3.5336 |
| 3.6958 | 4.0 | 2172 | 3.5036 |
| 3.6633 | 5.0 | 2715 | 3.4815 |
| 3.639 | 6.0 | 3258 | 3.4722 |
| 3.622 | 7.0 | 3801 | 3.4597 |
| 3.6095 | 8.0 | 4344 | 3.4578 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
|