metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-custom-mail
results: []
distilgpt2-finetuned-custom-mail
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1905
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 7 | 3.5915 |
| No log | 2.0 | 14 | 3.4986 |
| No log | 3.0 | 21 | 3.4418 |
| No log | 4.0 | 28 | 3.3970 |
| No log | 5.0 | 35 | 3.3569 |
| No log | 6.0 | 42 | 3.3207 |
| No log | 7.0 | 49 | 3.2972 |
| No log | 8.0 | 56 | 3.2806 |
| No log | 9.0 | 63 | 3.2620 |
| No log | 10.0 | 70 | 3.2451 |
| No log | 11.0 | 77 | 3.2302 |
| No log | 12.0 | 84 | 3.2177 |
| No log | 13.0 | 91 | 3.2083 |
| No log | 14.0 | 98 | 3.2024 |
| No log | 15.0 | 105 | 3.1984 |
| No log | 16.0 | 112 | 3.1962 |
| No log | 17.0 | 119 | 3.1938 |
| No log | 18.0 | 126 | 3.1920 |
| No log | 19.0 | 133 | 3.1913 |
| No log | 20.0 | 140 | 3.1905 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1