my_awesome_eli5_clm-model
This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8178
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 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 |
|---|---|---|---|
| 3.9292 | 1.0 | 1301 | 3.8297 |
| 3.8225 | 2.0 | 2602 | 3.8204 |
| 3.7812 | 3.0 | 3903 | 3.8178 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.5.1+cu121
- Datasets 4.1.1
- Tokenizers 0.22.1
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Model tree for Gautamo1/my_awesome_eli5_clm-model
Base model
distilbert/distilgpt2