|
--- |
|
license: mit |
|
base_model: gpt2 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: s1_5epoch |
|
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. --> |
|
|
|
# s1_5epoch |
|
|
|
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6345 |
|
- Accuracy: 0.7966 |
|
|
|
## 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: 24 |
|
- eval_batch_size: 24 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- total_train_batch_size: 192 |
|
- total_eval_batch_size: 192 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 0.7369 | 1.0 | 3545 | 0.6993 | 0.7806 | |
|
| 0.6889 | 2.0 | 7090 | 0.6606 | 0.7901 | |
|
| 0.6694 | 3.0 | 10635 | 0.6445 | 0.7942 | |
|
| 0.66 | 4.0 | 14180 | 0.6373 | 0.7959 | |
|
| 0.6561 | 5.0 | 17725 | 0.6345 | 0.7966 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.0.dev0 |
|
- Pytorch 2.1.1+cu121 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
