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--- |
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base_model: mor40/BulBERT-chitanka-model |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: BulBERT-exams-5epochs |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# BulBERT-exams-5epochs |
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This model is a fine-tuned version of [mor40/BulBERT-chitanka-model](https://huggingface.co/mor40/BulBERT-chitanka-model) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7671 |
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- Acc: 0.7498 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.06 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Acc | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.7342 | 1.0 | 4309 | 0.7328 | 0.7498 | |
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| 0.6805 | 2.0 | 8618 | 0.7723 | 0.7498 | |
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| 0.6844 | 3.0 | 12927 | 0.7731 | 0.7498 | |
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| 0.6748 | 4.0 | 17236 | 0.7608 | 0.7498 | |
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| 0.6809 | 5.0 | 21545 | 0.7671 | 0.7498 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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