|
--- |
|
base_model: eminAydin/turkish-gpt2-mini-M1-cleaned-sports720k-10ep |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: Turkish-GPT2-mini-ModelA-v2 |
|
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. --> |
|
|
|
# Turkish-GPT2-mini-ModelA-v2 |
|
|
|
This model is a fine-tuned version of [eminAydin/turkish-gpt2-mini-M1-cleaned-sports720k-10ep](https://huggingface.co/eminAydin/turkish-gpt2-mini-M1-cleaned-sports720k-10ep) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 4.4164 |
|
|
|
## 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 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 4.6261 | 1.0 | 92 | 4.4779 | |
|
| 4.0714 | 1.99 | 184 | 4.4208 | |
|
| 3.8349 | 2.99 | 276 | 4.4140 | |
|
| 3.6198 | 4.0 | 369 | 4.4100 | |
|
| 3.5232 | 5.0 | 461 | 4.4077 | |
|
| 3.4149 | 5.99 | 553 | 4.4100 | |
|
| 3.3322 | 6.99 | 645 | 4.4134 | |
|
| 3.2454 | 8.0 | 738 | 4.4164 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
