gpt2-wikitext2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.8500
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 45 | 9.3655 |
| No log | 2.0 | 90 | 8.9714 |
| No log | 3.0 | 135 | 8.8500 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.11.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2
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Model tree for TensorVizion/GPT2-H4
Base model
openai-community/gpt2