gpt2_lgenerator_test
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: 0.0832
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.1589 | 0.4622 | 300 | 0.0976 |
0.1001 | 0.9245 | 600 | 0.0899 |
0.0932 | 1.3867 | 900 | 0.0867 |
0.0898 | 1.8490 | 1200 | 0.0852 |
0.0881 | 2.3112 | 1500 | 0.0844 |
0.087 | 2.7735 | 1800 | 0.0832 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0
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Inference Providers
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Model tree for NanQiangHF/gpt2_lgenerator_test
Base model
openai-community/gpt2