awesome_eli5_clm-model
This model is a fine-tuned version of distilbert/distilgpt2 on an eli5 dataset. It achieves the following results on the evaluation set:
- Loss: 3.8035
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: 1e-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 |
|---|---|---|---|
| 3.9391 | 1.0 | 1301 | 3.8158 |
| 3.8633 | 2.0 | 2602 | 3.8047 |
| 3.8372 | 3.0 | 3903 | 3.8035 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
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Model tree for Jinx437/eli5-distilgpt2-model
Base model
distilbert/distilgpt2