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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kl_01_05_hscnspecial-hs_cn
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. -->
# gpt2-kl_01_05_hscnspecial-hs_cn
This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5409
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 21
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 73.5512 | 0.02 | 10 | 69.5664 |
| 46.0783 | 0.04 | 20 | 32.9183 |
| 13.5625 | 0.06 | 30 | 10.6417 |
| 6.8251 | 0.08 | 40 | 4.2115 |
| 3.5615 | 0.1 | 50 | 2.0291 |
| 1.4471 | 0.12 | 60 | 1.0824 |
| 1.1156 | 0.14 | 70 | 0.9043 |
| 0.9839 | 0.16 | 80 | 0.7788 |
| 0.75 | 0.18 | 90 | 0.6556 |
| 0.7311 | 0.2 | 100 | 0.6302 |
| 0.6331 | 0.22 | 110 | 0.6142 |
| 0.6426 | 0.24 | 120 | 0.6279 |
| 0.7058 | 0.26 | 130 | 0.5762 |
| 0.6443 | 0.28 | 140 | 0.5702 |
| 0.6437 | 0.3 | 150 | 0.5679 |
| 0.6041 | 0.32 | 160 | 0.5654 |
| 0.5403 | 0.34 | 170 | 0.5669 |
| 0.6511 | 0.36 | 180 | 0.5710 |
| 0.651 | 0.38 | 190 | 0.5604 |
| 0.6074 | 0.4 | 200 | 0.5608 |
| 0.7023 | 0.42 | 210 | 0.5603 |
| 0.6567 | 0.44 | 220 | 0.5581 |
| 0.5573 | 0.46 | 230 | 0.5606 |
| 0.5748 | 0.48 | 240 | 0.5573 |
| 0.5728 | 0.5 | 250 | 0.5559 |
| 0.6418 | 0.52 | 260 | 0.5447 |
| 0.5855 | 0.54 | 270 | 0.5406 |
| 0.6127 | 0.56 | 280 | 0.5423 |
| 0.6065 | 0.58 | 290 | 0.5415 |
| 0.5687 | 0.6 | 300 | 0.5409 |
### Framework versions
- Transformers 4.29.0.dev0
- Pytorch 1.12.0a0+bd13bc6
- Datasets 2.12.0
- Tokenizers 0.13.3
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