File size: 1,988 Bytes
b7ab0cf
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
69
70
---
base_model: eminAydin/turkish-gpt2-mini-M2-cleaned-politics720k-10ep
tags:
- generated_from_trainer
model-index:
- name: Turkish-GPT2-mini-ModelB-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-ModelB-v2

This model is a fine-tuned version of [eminAydin/turkish-gpt2-mini-M2-cleaned-politics720k-10ep](https://huggingface.co/eminAydin/turkish-gpt2-mini-M2-cleaned-politics720k-10ep) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0013

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.4557        | 1.0   | 105  | 4.2953          |
| 3.6895        | 2.0   | 211  | 4.1427          |
| 3.4175        | 3.0   | 316  | 4.0737          |
| 3.1772        | 4.0   | 422  | 4.0387          |
| 3.0538        | 5.0   | 527  | 4.0180          |
| 2.9085        | 6.0   | 633  | 4.0103          |
| 2.8535        | 7.0   | 738  | 4.0035          |
| 2.7727        | 8.0   | 844  | 4.0013          |
| 2.7713        | 9.0   | 949  | 4.0013          |
| 2.7571        | 9.95  | 1050 | 4.0013          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2