File size: 1,880 Bytes
0048fc6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
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
|