lm-colab-tutorial

This model is a fine-tuned version of distilgpt2 on the None dataset.

It achieves the following results on the evaluation set:

• Loss: 3.6391

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 |

|:-------------:|:-----:|:----:|:---------------:|

| 3.742 | 1.0 | 2334 | 3.6593 |

| 3.6297 | 2.0 | 4668 | 3.6440 |

| 3.5795 | 3.0 | 7002 | 3.6391 |

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1