metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: enron_gpt2_model
results: []
enron_gpt2_model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0150
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 |
|---|---|---|---|
| 3.2618 | 1.0 | 336 | 3.1207 |
| 3.0512 | 2.0 | 672 | 3.0692 |
| 2.9447 | 3.0 | 1008 | 3.0390 |
| 2.8642 | 4.0 | 1344 | 3.0270 |
| 2.7997 | 5.0 | 1680 | 3.0158 |
| 2.7479 | 6.0 | 2016 | 3.0123 |
| 2.7066 | 7.0 | 2352 | 3.0106 |
| 2.6745 | 8.0 | 2688 | 3.0139 |
| 2.6514 | 9.0 | 3024 | 3.0126 |
| 2.6367 | 10.0 | 3360 | 3.0150 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3