đ gpt2-finetuned-comp2
This is a fine - tuned version of gpt2, which can achieve better performance on specific tasks.
đ Quick Start
This model is a fine - tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7788
- Precision: 0.3801
- Recall: 0.6854
- F1: 0.4800
- Accuracy: 0.4800
đ Documentation
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
đ§ Technical Details
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e - 05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Precision |
Recall |
F1 |
Accuracy |
| 1.0962 |
1.0 |
1012 |
0.7528 |
0.3793 |
0.6109 |
0.4411 |
0.4411 |
| 0.7022 |
2.0 |
2024 |
0.6763 |
0.3992 |
0.6557 |
0.4799 |
0.4799 |
| 0.6136 |
3.0 |
3036 |
0.6751 |
0.3995 |
0.6597 |
0.4824 |
0.4824 |
| 0.5444 |
4.0 |
4048 |
0.6799 |
0.3891 |
0.6817 |
0.4854 |
0.4854 |
| 0.4846 |
5.0 |
5060 |
0.7371 |
0.4030 |
0.6701 |
0.4906 |
0.4906 |
| 0.4379 |
6.0 |
6072 |
0.7520 |
0.3956 |
0.6788 |
0.4887 |
0.4887 |
| 0.404 |
7.0 |
7084 |
0.7788 |
0.3801 |
0.6854 |
0.4800 |
0.4800 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
đ License
This model is released under the MIT license.
| Property |
Details |
| Model Type |
Fine - tuned version of gpt2 |
| Metrics |
Precision, Recall, F1, Accuracy |
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