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gpt2-kl_1_05-hs_cn
Bainbridge/gpt2-kl_1_05-hs_cn
gpt2-kl_1_05-hs_cn is a text generation model from Bainbridge. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Apr 12, 2023
- Updated
- Apr 17, 2023
- SHA
- 1534cd5d
Try a prompt
Model card
From the Hugging Face model README
<!-- 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_1_05-hs_cn
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5395
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 |
|---|---|---|---|
| 73.9845 | 0.02 | 10 | 69.5720 |
| 46.5054 | 0.04 | 20 | 32.9413 |
| 13.9547 | 0.06 | 30 | 10.6381 |
| 7.1893 | 0.08 | 40 | 4.2158 |
| 4.0234 | 0.1 | 50 | 2.0517 |
| 1.8675 | 0.12 | 60 | 1.0944 |
| 1.4112 | 0.14 | 70 | 0.8927 |
| 1.3181 | 0.16 | 80 | 0.8278 |
| 1.1966 | 0.18 | 90 | 0.6391 |
| 1.1266 | 0.2 | 100 | 0.6524 |
| 1.0109 | 0.22 | 110 | 0.6016 |
| 1.0176 | 0.24 | 120 | 0.5837 |
| 1.0522 | 0.26 | 130 | 0.5829 |
| 1.0986 | 0.28 | 140 | 0.5824 |
| 1.1256 | 0.3 | 150 | 0.5938 |
| 1.072 | 0.32 | 160 | 0.5848 |
| 0.9252 | 0.34 | 170 | 0.5678 |
| 1.0958 | 0.36 | 180 | 0.5606 |
| 1.1286 | 0.38 | 190 | 0.5573 |
| 0.9755 | 0.4 | 200 | 0.5549 |
| 1.1749 | 0.42 | 210 | 0.5554 |
| 1.1154 | 0.44 | 220 | 0.5473 |
| 0.9256 | 0.46 | 230 | 0.5486 |
| 1.006 | 0.48 | 240 | 0.5464 |
| 0.9398 | 0.5 | 250 | 0.5485 |
| 0.9877 | 0.52 | 260 | 0.5478 |
| 0.9719 | 0.54 | 270 | 0.5442 |
| 1.0415 | 0.56 | 280 | 0.5441 |
| 0.9641 | 0.58 | 290 | 0.5449 |
| 0.8955 | 0.6 | 300 | 0.5462 |
| 1.0203 | 0.62 | 310 | 0.5415 |
| 1.1277 | 0.64 | 320 | 0.5415 |
| 0.943 | 0.66 | 330 | 0.5409 |
| 0.9258 | 0.68 | 340 | 0.5359 |
| 0.9217 | 0.7 | 350 | 0.5401 |
| 0.9456 | 0.72 | 360 | 0.5383 |
| 1.0309 | 0.74 | 370 | 0.5395 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.11.0+cu113
- Datasets 2.11.0
- Tokenizers 0.12.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Apr 12, 2023
- Updated
- Apr 17, 2023