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: 3.7899
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use 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 | 167 | 3.8061 |
| No log | 2.0 | 334 | 3.7927 |
| 3.9061 | 3.0 | 501 | 3.7899 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.1+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1
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Model tree for wyren726/my_awesome_eli5_clm-model
Base model
distilbert/distilgpt2