metadata
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_clm-model
results: []
my_awesome_eli5_clm-model
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7706
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 |
|---|---|---|---|
| 4.0085 | 0.13 | 500 | 3.8586 |
| 3.9418 | 0.25 | 1000 | 3.8368 |
| 3.9257 | 0.38 | 1500 | 3.8236 |
| 3.9012 | 0.51 | 2000 | 3.8139 |
| 3.9131 | 0.63 | 2500 | 3.8052 |
| 3.8947 | 0.76 | 3000 | 3.7976 |
| 3.8943 | 0.88 | 3500 | 3.7912 |
| 3.8809 | 1.01 | 4000 | 3.7887 |
| 3.8243 | 1.14 | 4500 | 3.7877 |
| 3.8251 | 1.26 | 5000 | 3.7854 |
| 3.822 | 1.39 | 5500 | 3.7824 |
| 3.8141 | 1.52 | 6000 | 3.7808 |
| 3.8243 | 1.64 | 6500 | 3.7785 |
| 3.8108 | 1.77 | 7000 | 3.7762 |
| 3.8059 | 1.89 | 7500 | 3.7755 |
| 3.7984 | 2.02 | 8000 | 3.7765 |
| 3.7866 | 2.15 | 8500 | 3.7747 |
| 3.7761 | 2.27 | 9000 | 3.7746 |
| 3.7764 | 2.4 | 9500 | 3.7727 |
| 3.779 | 2.53 | 10000 | 3.7727 |
| 3.7744 | 2.65 | 10500 | 3.7719 |
| 3.7685 | 2.78 | 11000 | 3.7708 |
| 3.7694 | 2.9 | 11500 | 3.7706 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0