<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
my_awesome_eli5_clm-model1
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7519
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8715 | 1.0 | 1066 | 3.7691 |
| 3.7761 | 2.0 | 2132 | 3.7542 |
| 3.7292 | 3.0 | 3198 | 3.7519 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.12.1
- Datasets 2.10.0
- Tokenizers 0.13.2
