|
|
--- |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: GPT2_natural_function_53 |
|
|
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_natural_function_53 |
|
|
|
|
|
This model was trained from scratch on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 3.7165 |
|
|
- Accuracy: 0.3685 |
|
|
|
|
|
## 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: 0.0001 |
|
|
- train_batch_size: 128 |
|
|
- eval_batch_size: 128 |
|
|
- seed: 53 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 10000 |
|
|
- num_epochs: 10 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
|
| 4.9681 | 1.0 | 6422 | 4.7441 | 0.2809 | |
|
|
| 4.3361 | 2.0 | 12844 | 4.1924 | 0.3208 | |
|
|
| 4.0681 | 3.0 | 19266 | 4.0019 | 0.3379 | |
|
|
| 3.9431 | 4.0 | 25688 | 3.9031 | 0.3468 | |
|
|
| 3.8435 | 5.0 | 32110 | 3.8400 | 0.3539 | |
|
|
| 3.7716 | 6.0 | 38532 | 3.7953 | 0.3586 | |
|
|
| 3.7115 | 7.0 | 44954 | 3.7655 | 0.3618 | |
|
|
| 3.6569 | 8.0 | 51376 | 3.7415 | 0.3647 | |
|
|
| 3.6087 | 9.0 | 57798 | 3.7231 | 0.3674 | |
|
|
| 3.5685 | 10.0 | 64220 | 3.7165 | 0.3685 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.30.2 |
|
|
- Pytorch 2.9.1+cu128 |
|
|
- Datasets 4.1.1 |
|
|
- Tokenizers 0.13.3 |
|
|
|
