|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
base_model: gpt2 |
|
model-index: |
|
- name: gpt2-evy |
|
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. --> |
|
|
|
# gpt2-evy |
|
|
|
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: 1.2693 |
|
|
|
## 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: 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 | 1.5530 | |
|
| No log | 2.0 | 14 | 1.4601 | |
|
| No log | 3.0 | 21 | 1.3953 | |
|
| No log | 4.0 | 28 | 1.3557 | |
|
| No log | 5.0 | 35 | 1.3301 | |
|
| No log | 6.0 | 42 | 1.3117 | |
|
| No log | 7.0 | 49 | 1.2968 | |
|
| No log | 8.0 | 56 | 1.2832 | |
|
| No log | 9.0 | 63 | 1.2769 | |
|
| No log | 10.0 | 70 | 1.2807 | |
|
| No log | 11.0 | 77 | 1.2698 | |
|
| No log | 12.0 | 84 | 1.2707 | |
|
| No log | 13.0 | 91 | 1.2747 | |
|
| No log | 14.0 | 98 | 1.2695 | |
|
| 1.0557 | 15.0 | 105 | 1.2699 | |
|
| 1.0557 | 16.0 | 112 | 1.2656 | |
|
| 1.0557 | 17.0 | 119 | 1.2711 | |
|
| 1.0557 | 18.0 | 126 | 1.2696 | |
|
| 1.0557 | 19.0 | 133 | 1.2691 | |
|
| 1.0557 | 20.0 | 140 | 1.2693 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.1 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
