gpt2_bwgenerator
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1070
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5956 | 0.1574 | 300 | 0.1631 |
0.1683 | 0.3148 | 600 | 0.1376 |
0.1471 | 0.4722 | 900 | 0.1288 |
0.1364 | 0.6296 | 1200 | 0.1198 |
0.1302 | 0.7870 | 1500 | 0.1188 |
0.1262 | 0.9444 | 1800 | 0.1147 |
0.1233 | 1.1018 | 2100 | 0.1122 |
0.1208 | 1.2592 | 2400 | 0.1108 |
0.119 | 1.4166 | 2700 | 0.1098 |
0.1176 | 1.5740 | 3000 | 0.1084 |
0.1161 | 1.7314 | 3300 | 0.1084 |
0.1153 | 1.8888 | 3600 | 0.1070 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1
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Model tree for NanQiangHF/gpt2_bwgenerator
Base model
openai-community/gpt2