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turkish_mmlu_base-bert-uncased
gulsmyigit/turkish_mmlu_base-bert-uncased
turkish_mmlu_base-bert-uncased is a machine learning model from gulsmyigit. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024
- SHA
- f1248572
Base models
Model card
From the Hugging Face model README
<!-- 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_mmlu_base-bert-uncased
This model is a fine-tuned version of ytu-ce-cosmos/turkish-base-bert-uncased on the alibayram/turkish_mmlu dataset. It achieves the following results on the evaluation set:
- Loss: 1.5043
- Accuracy: 0.3119
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5725 | 0.9998 | 2063 | 1.5487 | 0.2739 |
| 1.5254 | 1.9995 | 4126 | 1.5090 | 0.3057 |
| 1.4895 | 2.9993 | 6189 | 1.5043 | 0.3119 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024