|
|
--- |
|
|
license: mit |
|
|
base_model: gpt2 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: enron_gpt2_model_part2 |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# enron_gpt2_model_part2 |
|
|
|
|
|
This model is a fine-tuned version of [gpt2](https://huggingface.co/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 |
|
|
|
