Model save
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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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# ontochem_biobert_half
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This model
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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_steps: 500
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- num_epochs:
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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 | 1.0 | 24 |
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| No log | 2.0 | 48 |
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| No log | 3.0 | 72 | 0.
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| No log | 4.0 | 96 | 0.
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| No log | 5.0 | 120 | 0.
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| No log | 6.0 | 144 | 0.
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| No log | 7.0 | 168 | 0.
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| No log | 8.0 | 192 | 0.
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| No log | 9.0 | 216 | 0.
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| No log | 10.0 | 240 | 0.
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### Framework versions
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base_model: dmis-lab/biobert-base-cased-v1.1
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tags:
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- generated_from_trainer
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model-index:
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# ontochem_biobert_half
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This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.1](https://huggingface.co/dmis-lab/biobert-base-cased-v1.1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0715
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## Model description
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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_steps: 500
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- num_epochs: 14
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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 | 1.0 | 24 | 1.1381 |
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| No log | 2.0 | 48 | 1.0216 |
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| No log | 3.0 | 72 | 0.8319 |
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| No log | 4.0 | 96 | 0.5484 |
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| No log | 5.0 | 120 | 0.1999 |
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| No log | 6.0 | 144 | 0.1298 |
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| No log | 7.0 | 168 | 0.1059 |
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| No log | 8.0 | 192 | 0.0866 |
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| No log | 9.0 | 216 | 0.0749 |
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| No log | 10.0 | 240 | 0.0695 |
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| No log | 11.0 | 264 | 0.0684 |
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| No log | 12.0 | 288 | 0.0696 |
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| No log | 13.0 | 312 | 0.0741 |
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| No log | 14.0 | 336 | 0.0715 |
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### Framework versions
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model.safetensors
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