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--- |
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library_name: transformers |
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base_model: ania3000/untrained-ossbert-e |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: demo-ossbert-e-sh |
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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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# demo-ossbert-e-sh |
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This model is a fine-tuned version of [ania3000/untrained-ossbert-e](https://huggingface.co/ania3000/untrained-ossbert-e) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.0671 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.9662 | 200 | 6.4811 | |
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| No log | 1.9324 | 400 | 6.2655 | |
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| No log | 2.8986 | 600 | 6.1398 | |
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| No log | 3.8647 | 800 | 6.0718 | |
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| No log | 4.8309 | 1000 | 6.0671 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
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