Model save

README.md

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+---
+base_model: dmis-lab/biobert-base-cased-v1.1
+tags:
+- generated_from_trainer
+model-index:
+- name: ontochem_biobert_300_1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ontochem_biobert_300_1
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.9887
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 5    | 1.1547          |
+| No log        | 2.0   | 10   | 1.1496          |
+| No log        | 3.0   | 15   | 1.1411          |
+| No log        | 4.0   | 20   | 1.1290          |
+| No log        | 5.0   | 25   | 1.1136          |
+| No log        | 6.0   | 30   | 1.0950          |
+| No log        | 7.0   | 35   | 1.0731          |
+| No log        | 8.0   | 40   | 1.0481          |
+| No log        | 9.0   | 45   | 1.0199          |
+| No log        | 10.0  | 50   | 0.9887          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2