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LCIA_Test3_gpt2_small
JT000/LCIA_Test3_gpt2_small
LCIA_Test3_gpt2_small is a text classification model from JT000. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Jun 21, 2024
- Updated
- Jun 24, 2024
- SHA
- 69e9810b
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Base models
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. -->
LCIA_Test3_gpt2_small
This model is a fine-tuned version of uer/gpt2-chinese-cluecorpussmall on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1054
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: 2e-05
- train_batch_size: 18
- eval_batch_size: 18
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 21 | 0.7690 |
| No log | 2.0 | 42 | 0.6252 |
| No log | 3.0 | 63 | 0.4116 |
| No log | 4.0 | 84 | 0.1728 |
| No log | 5.0 | 105 | 0.1211 |
| No log | 6.0 | 126 | 0.1188 |
| No log | 7.0 | 147 | 0.1166 |
| No log | 8.0 | 168 | 0.1113 |
| No log | 9.0 | 189 | 0.1090 |
| No log | 10.0 | 210 | 0.1100 |
| No log | 11.0 | 231 | 0.1029 |
| No log | 12.0 | 252 | 0.1016 |
| No log | 13.0 | 273 | 0.0963 |
| No log | 14.0 | 294 | 0.0998 |
| No log | 15.0 | 315 | 0.0935 |
| No log | 16.0 | 336 | 0.0956 |
| No log | 17.0 | 357 | 0.0925 |
| No log | 18.0 | 378 | 0.0913 |
| No log | 19.0 | 399 | 0.0993 |
| No log | 20.0 | 420 | 0.0981 |
| No log | 21.0 | 441 | 0.0946 |
| No log | 22.0 | 462 | 0.1039 |
| No log | 23.0 | 483 | 0.0984 |
| 0.1655 | 24.0 | 504 | 0.0977 |
| 0.1655 | 25.0 | 525 | 0.1018 |
| 0.1655 | 26.0 | 546 | 0.1040 |
| 0.1655 | 27.0 | 567 | 0.0988 |
| 0.1655 | 28.0 | 588 | 0.1047 |
| 0.1655 | 29.0 | 609 | 0.1059 |
| 0.1655 | 30.0 | 630 | 0.1061 |
| 0.1655 | 31.0 | 651 | 0.1064 |
| 0.1655 | 32.0 | 672 | 0.1049 |
| 0.1655 | 33.0 | 693 | 0.1038 |
| 0.1655 | 34.0 | 714 | 0.1054 |
| 0.1655 | 35.0 | 735 | 0.1016 |
| 0.1655 | 36.0 | 756 | 0.1076 |
| 0.1655 | 37.0 | 777 | 0.1047 |
| 0.1655 | 38.0 | 798 | 0.1055 |
| 0.1655 | 39.0 | 819 | 0.1056 |
| 0.1655 | 40.0 | 840 | 0.1054 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- Created
- Jun 21, 2024
- Updated
- Jun 24, 2024