metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: enron_gpt2_model_part3
results: []
enron_gpt2_model_part3
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0151
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2615 | 1.0 | 336 | 3.1207 |
| 3.0509 | 2.0 | 672 | 3.0693 |
| 2.9441 | 3.0 | 1008 | 3.0389 |
| 2.8636 | 4.0 | 1344 | 3.0271 |
| 2.799 | 5.0 | 1680 | 3.0160 |
| 2.7472 | 6.0 | 2016 | 3.0125 |
| 2.706 | 7.0 | 2352 | 3.0108 |
| 2.674 | 8.0 | 2688 | 3.0141 |
| 2.651 | 9.0 | 3024 | 3.0126 |
| 2.6361 | 10.0 | 3360 | 3.0151 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3