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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kl_01_04-hs_cn-loto_women
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_04-hs_cn-loto_women
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: 0.5255
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 72.3926 | 0.03 | 10 | 64.4148 |
| 30.9965 | 0.06 | 20 | 18.3281 |
| 9.3508 | 0.08 | 30 | 6.8328 |
| 3.4241 | 0.11 | 40 | 2.8584 |
| 1.6453 | 0.14 | 50 | 1.2170 |
| 1.2959 | 0.17 | 60 | 0.9385 |
| 0.8158 | 0.2 | 70 | 0.7754 |
| 0.6544 | 0.23 | 80 | 0.7423 |
| 0.6712 | 0.25 | 90 | 0.7252 |
| 0.699 | 0.28 | 100 | 0.6105 |
| 0.6505 | 0.31 | 110 | 0.5996 |
| 0.5894 | 0.34 | 120 | 0.6120 |
| 0.6332 | 0.37 | 130 | 0.5771 |
| 0.5938 | 0.4 | 140 | 0.5713 |
| 0.6967 | 0.42 | 150 | 0.5658 |
| 0.5814 | 0.45 | 160 | 0.5639 |
| 0.6871 | 0.48 | 170 | 0.5620 |
| 0.7062 | 0.51 | 180 | 0.5577 |
| 0.6324 | 0.54 | 190 | 0.5526 |
| 0.5662 | 0.57 | 200 | 0.5551 |
| 0.5518 | 0.59 | 210 | 0.5488 |
| 0.6076 | 0.62 | 220 | 0.5491 |
| 0.5995 | 0.65 | 230 | 0.5428 |
| 0.5814 | 0.68 | 240 | 0.5438 |
| 0.5011 | 0.71 | 250 | 0.5429 |
| 0.5419 | 0.74 | 260 | 0.5419 |
| 0.5354 | 0.76 | 270 | 0.5392 |
| 0.6176 | 0.79 | 280 | 0.5355 |
| 0.5353 | 0.82 | 290 | 0.5367 |
| 0.6365 | 0.85 | 300 | 0.5312 |
| 0.6529 | 0.88 | 310 | 0.5319 |
| 0.5899 | 0.91 | 320 | 0.5277 |
| 0.5617 | 0.93 | 330 | 0.5263 |
| 0.6409 | 0.96 | 340 | 0.5250 |
| 0.6277 | 0.99 | 350 | 0.5218 |
| 0.5406 | 1.02 | 360 | 0.5229 |
| 0.4896 | 1.05 | 370 | 0.5267 |
| 0.4776 | 1.08 | 380 | 0.5255 |
### Framework versions
- Transformers 4.28.0
- Pytorch 1.11.0+cu113
- Datasets 2.11.0
- Tokenizers 0.13.3
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