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--- |
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base_model: mor40/BulBERT-finetuned-cinexio |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: BulBERT-cinexio-5pochs |
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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-cinexio-5pochs |
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This model is a fine-tuned version of [mor40/BulBERT-finetuned-cinexio](https://huggingface.co/mor40/BulBERT-finetuned-cinexio) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1071 |
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- Accuracy: 0.97 |
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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: 2e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 388 | 0.2160 | 0.92 | |
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| 0.244 | 2.0 | 776 | 0.1136 | 0.95 | |
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| 0.2092 | 3.0 | 1164 | 0.1366 | 0.95 | |
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| 0.1607 | 4.0 | 1552 | 0.1228 | 0.94 | |
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| 0.1607 | 5.0 | 1940 | 0.1071 | 0.97 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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