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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs |
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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: trainer_output |
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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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# trainer_output |
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This model is a fine-tuned version of [AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs](https://huggingface.co/AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2180 |
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- Accuracy: 95.3662 |
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- Sentence accuracy: 61.1009 |
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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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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 | Sentence accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:| |
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| No log | 0.3663 | 200 | 0.7365 | 85.6227 | 26.4220 | |
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| No log | 0.7326 | 400 | 0.4917 | 89.7247 | 35.4128 | |
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| 1.0818 | 1.0989 | 600 | 0.3859 | 91.3683 | 42.0183 | |
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| 1.0818 | 1.4652 | 800 | 0.3291 | 92.7312 | 48.0734 | |
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| 0.3537 | 1.8315 | 1000 | 0.3010 | 93.3191 | 50.4587 | |
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| 0.3537 | 2.1978 | 1200 | 0.2756 | 93.9738 | 52.6606 | |
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| 0.3537 | 2.5641 | 1400 | 0.2665 | 94.2678 | 54.6789 | |
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| 0.2244 | 2.9304 | 1600 | 0.2540 | 94.4949 | 56.5138 | |
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| 0.2244 | 3.2967 | 1800 | 0.2494 | 94.6686 | 55.0459 | |
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| 0.1549 | 3.6630 | 2000 | 0.2410 | 95.0695 | 60.1835 | |
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| 0.1549 | 4.0293 | 2200 | 0.2380 | 95.0027 | 59.6330 | |
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| 0.1549 | 4.3956 | 2400 | 0.2393 | 94.9759 | 58.3486 | |
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| 0.1165 | 4.7619 | 2600 | 0.2350 | 95.1897 | 59.8165 | |
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### Framework versions |
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- Transformers 4.57.3 |
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- Pytorch 2.9.0+cu128 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.2 |
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