my_awesome_eli5_clm-model
This model is a fine-tuned version of distilbert/distilgpt2 on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 3.8698
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 |
|---|---|---|---|
| 3.9583 | 1.0 | 826 | 3.8741 |
| 3.8423 | 2.0 | 1652 | 3.8699 |
| 3.8072 | 3.0 | 2478 | 3.8698 |
Framework versions
- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 2.18.0
- Tokenizers 0.21.2
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Model tree for LuisEduardoRomeroOlmos/my_awesome_eli5_clm-model
Base model
distilbert/distilgpt2